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• I need to tell or revise a short story: what are the parts of a Labov-style narrative (abstract, orientation, complicating action, evaluation, resolution, coda) and what question does each part answer? active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
  Labov (author-hosted texts, 1997-2006) defines each part of a personal-experience narrative by the question a clause answers: orientation (who, when, where), complicating action (and then what happened), evaluation (so what), coda (return to the present). An evaluation section, rich in irrealis clauses, sits just before the most highly evaluated event, the 'point'. The original 1967 Labov-Waletzky paper was not openly readable, so the six-part list is taken from Labov's own later restatements. The scheme was built on spoken accounts of real events; use for fiction is a transfer the sources do not test.
• What documented checks show that a captured lighting HDRI is complete (no clipped sources, full coverage) and calibrated (exposure and colour tied to reference), and what do the manuals leave unsaid? active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
  No source read gives a numeric acceptance test. The documented checks are scattered: the original paper shows a radiance map stepped down 7 stops with no saturation and compares a rendered local scene with the photograph (differential rendering); a later paper states that diffuse and mirrored estimates must agree if no light clips; a practitioner says the darkest frame must have no clipped sources; a work-in-progress CAVE page neutralises HDRIs with a bracketed chart whose 18 percent patch sets base exposure. Vendor manuals read (Blender, VES guide) state use or purpose only. The checklist assembled here is a synthesis proposal, not a standard.
• What lighting reference should be shot at a setup so CG can be lit to match, and what does each item (grey ball, chrome ball, colour chart) tell the lighting artist? active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
  Two practitioner pages and the VES guide agree on the kit: a grey ball (light direction, intensity, shadow), a chrome ball (where lights, camera and set are) and a colour chart (to set exposure and white balance), shot where the CG will sit and slated to the shot. The VES guide (a standards-body list) names charts, HDRIs and material props but not the procedure; the procedure and cautions come from practitioners. Cautions: painted balls may not be neutral, the chart is for exposure/white balance not colour correction, and real-world bounce on the reference should not be compensated by editing shaders.
• If a shoot needs tracking markers, what shape, size, colour, count and placement do practitioners and tool manuals recommend, and where do they disagree? active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
  Two practitioner accounts (2016) agree markers are a fallback and should be small, simple and at different depths, but disagree on numbers: one says at least nine dots visible at any moment, the other at least seven. Marker size is given only relatively (just visible in the widest shot) plus one anecdotal tape size (half-inch squares). The tool manuals read (Nuke, Blender, SynthEyes) describe what the software needs from features (non-coplanar, high contrast, not reflections, mask movers) but state no physical marker size, spacing or count.
• Before a camera track, how much do I need to know about the lens focal length and sensor size, and what do I enter when I do not know them? active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
  Both tool manuals read treat focal length and sensor (film back) as inputs to give the solver when known and as values to be estimated when not. Nuke CameraTracker offers five focal-length modes (Known, two Approximate, two Unknown) and says approximate values are refined in the solve; Blender can refine focal length but needs approximate starting values. Two practitioner/trade sources say nominal lens and sensor numbers are only starting points (manufacturer tolerance, cropped sensor areas, stabilisation), while Nuke says accurate physical data gives a better track; the sources are not directly comparable and no source here measures the error.
• What did BioWare's David Gaider say about keeping the long-term Dragon Age lore in a master lore document, who could see it, and what problem forced it to be written? active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
  In an Oct 2024 Eurogamer interview, David Gaider says the overarching Dragon Age plot lived in his head until Inquisition, when other writers 'dragged' it out into a master lore doc that was hidden from most of the team. The journalist reports about 20 senior people had access. Gaider says the plan has 'more or less held up' in The Veilguard, which he did not work on. The source supports a practice of a restricted master document and a single-person-memory risk; it does not show how contradictions were checked.
• What do game writers say a lore or story bible contains and how should I keep one usable for a team? active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
  Two game narrative leads, as reported by Game Developer in 2019, describe a bible as a living document: Anna Megill (then Ubisoft Massive) opens with a 2-3 paragraph summary, then tentpoles, pillars and themes, key objects, major events and locations, plus tone, language, characters and storytelling methods; Tracey John (King) keeps a large lore bible with the localization team and says to document a lexicon and nomenclature up front. Leland Chee (Lucas Licensing) states that electronic records replaced printed bibles. These are journalist reports of talks, except Chee's own words.
• What do the 4D reconstruction and generation papers say about relighting, editing, topology and render cost, i.e. the limits that matter for VFX, volumetric capture or virtual production? active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
  Across nine primary papers (HTML bodies, before reference lists) no text contains the words relight, albedo, BRDF or virtual production; lighting appears only as scene variation to be fitted (Real-time 4DGS) or as an uncharacterised factor (DyCheck). Gaussian colour is stored as spherical-harmonic coefficients, so appearance is baked and view-dependent; relighting is therefore not a documented capability of these systems. Editing is demonstrated for rig-captured persistent Gaussians (edit propagation, object insertion, camera attachment) and described as naive transformation in 4D-GS. Topology: persistent Gaussians give point correspondence over time, DG4D gives a per-frame obj mesh sequence, and no read source reports a stable mesh topology. Render speed is high for small scenes on a consumer GPU (author-reported tens to hundreds of FPS) but is tied to Gaussian count, resolution and deformation network size; clips are seconds long and scale to large scenes is a stated limit. Produc...
• When one model is scored under several action-following protocols (Oasis and Matrix-Game across MineWorld, Matrix-Game, GameCraft and Yume papers), do the scores agree, and are the protocols comparable? active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
  They do not agree. Oasis keyboard accuracy is 0.77 in Matrix-Game 1.0, 0.73 in Matrix-Game 2.0, and F1 0.41 (precision 0.49, recall 0.44) in MineWorld's own table. Matrix-Game 1.0 scores 0.95 keyboard/0.95 mouse in its own paper, yet in GameCraft's tests (150 mixed images, 12 actions) it has the highest translation error and the second-highest rotation error of five methods (RPE trans 0.18, rot 0.35 versus 0.08 and 0.20 for GameCraft) and the lowest user-study action-accuracy rank (1.63 of 5), and in Yume-Bench its human-rated instruction following is 0.271 against Yume's 0.657. The sources differ in test set, domain, estimator and rater, so these are four separate protocols, not four measurements of one quantity. The differences are consistent with domain shift (Yume says Matrix-Game struggles to generalise to real-world scenes) but no source isolates the cause.
• What do Ryan, Mateas and Wardrip-Fruin identify as the open problem of recognizing stories in simulation output ('story recognition', later 'story sifting'), what failure modes does Ryan catalogue, and what architecture does he propose? active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
  The 2015 paper by Ryan, Mateas and Wardrip-Fruin (paywalled; read here only through the author's quotations in his open 2018 dissertation) names 'story recognition': simulations produce a stew of events, humans can tell which sequences are storylike, but the system cannot. Ryan later renames it story sifting because stories are not already intact in chronicles, catalogues twelve 'pains' of emergent narrative (boringness, causality issues, no curation, poor presentation and others), and proposes a pipeline of chronicler, story sifter (pattern-based or heuristic), narrativizer. Ryan notes that in nearly all existing works the sifter is the human player. The dissertation reports no controlled evaluation of the pain taxonomy in the parts read; his own case studies were not read.
• What does Dwarf Fortress's creator say about generating stories from a simulation first, what mechanisms and principles does he report, and where does he say it falls short? active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
  Tarn Adams describes Dwarf Fortress as a world simulation whose history is a log of many autonomous agents; his stated method (2008) is to create actors with motivations and let them go, and (2019) to give dwarves autonomy so they are actors in their own stories while the player is the fortress's 'official will'. He is candid about limits: character motivations lag far behind stories, a recorded log needs post-processing to find highlights and can be boring without enough dynamics, numbers make poor stories (hence a body-part damage model), and the memorable stories come from forums and streamers, not from the game narrating them. His Game AI Pro chapter gives four simulation principles (iterate, break down the system, avoid overcomplication, use real-world analogs), but is about world generation, not narrative.
• Why do players see stories in simple simulations, and what does a designer of a systemic game do so that simulated events become stories rather than noise? active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
  RimWorld's designer argues, in a 2013 first-person article, that a game's value lives in the mental model it projects into the player, so simulation detail the player cannot perceive is wasted. Stories come from apophenia (players read intent and emotion into simple events), so the simulation acts as co-author. He gives concrete design moves: borrow archetypes, put human-relevant values and uncertain outcomes at stake, imply primal emotions, model the minimum that supports the stories you want, add 'hair complexity' flavor that feeds nothing back, and track story-richness (the share of interactions that are interesting to the player). The article is a practitioner argument with examples and no measurements.
• What do RimWorld's designer and developer say about how its storytellers choose events, and what part of the mechanism is only documented by the community? active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
  Ludeon's own pages say RimWorld is a story generator that works by controlling random events, each one 'a card dealt into your story' by the AI storyteller; the designer's 2013 devlog names three storytellers whose policies are a pre-defined tension curve, pure randomness, and 'nothing bad happens'. The numeric mechanism (what inputs, what curve, what thresholds) is not given in any first-person text obtained; only the community wiki describes inputs such as colony wealth and time since the last major event, and a push/breathe cycle for Cassandra. No evaluation of the storytellers by the developer was found.
• How do the Left 4 Dead and Warframe directors choose which events happen where and when (event selection), and what do they do to avoid repetition and wasted events? active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
  Both directors select events with constrained randomness. L4D layers independent population functions (wanderers, mobs on a randomized 90-180 s timer, specials on individual timers, bosses dealt from a shuffled Tank/Witch/Nothing deck with no immediate repeats), picks spawn areas relative to the team's route position (75% of mobs from behind), and lets designers place candidate items that the director then enables or not. Warframe weights enemy types, caps simultaneous rare units, spawns ahead of players and out of sight, and shapes density with a planned two-peak population graph because uniform density is 'dull'. Valve's stated rationale is replayability: static triggers get memorized. The only claim about stories is that combinations of rare randomized events make memorable stories.
• What do Chamfer distance, F-score, CLIP score, FID/FD, ULIP/Uni3D and user-preference numbers in image-to-3D papers actually measure? active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
  The papers use four metric families. Geometry accuracy against a ground-truth mesh: Chamfer distance and F-score on sampled point clouds (TripoSR, SF3D, SPAR3D, TRELLIS, TripoSG for its VAE). Distribution quality of renders: Frechet/kernel distance or FID variants (TRELLIS FD/KD; Hunyuan CLIP-FID and CMMD). Prompt alignment: CLIP cosine similarity of renders to the prompt, and ULIP/Uni3D scores between a sampled point cloud and image or caption (Hunyuan, TRELLIS.2). Human or model preference: authors-run user studies (TRELLIS, TRELLIS.2, Hunyuan 2.0) and, for TripoSG, an LMM (Claude 3.5) judge. Geometry accuracy needs a ground-truth mesh; the alignment and distribution scores do not.
• What checks could an agent apply to a draft episode ending, and which are supported by measurement versus craft advice? active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
  Synthesis only. From the sources read, an agent can run a checklist: (1) name the open question the ending leaves; (2) check it is a turn near the end of the act (Silberman, WGF); (3) check for a bridge into the next episode (Alias); (4) label any claim of retention as unmeasured; (5) note arousal side effects (Wirz). No source supplies a validated test of an ending; the checks are proposals.
• What counts as binge-watching in the research, and what do the studies actually measure? active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
  A 2020 open systematic review (28 articles, 2013-2020) reports no single definition of binge-watching: studies range from 1-3 to 3+ or more episodes in one sitting, and the review table lists mostly online surveys. The review separates an entertainment perspective from a negative-outcome perspective. It does not test cliffhangers, so it cannot support or refute claims about episode endings.
• How do A, B and C stories share one episode and tie into act breaks, according to open guild and writer sources? active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
  The Writers Guild Foundation (2021) says six-act episodic dramas use A, B, C and sometimes D stories to fill the hour, and illustrates with a Grey's Anatomy episode where three interns carry the three stories under one theme, start at different acts, and intersect in Act 4. Silberman (2013) says the B story in TV is "almost certainly already rolling" by the end of Act 1. Both are analyst or writer descriptions of script structure, not measured findings.
• Where do act breaks go relative to commercial breaks, and what do open practitioner sources say each act-out should do? active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
  In ad-supported formats, act breaks sit at commercial breaks and practitioners want each act to end on a turn that gives viewers a reason to stay: Silberman puts the false high plus one "bad guys close in" scene at the end of Act 2 and ends Act 3 one scene before the hero's plan; Levine, a sitcom writer-producer, describes the older single mid-episode "Hey, Mae!" break, and says networks added breaks for commerce, not storytelling; the WGF notes serialized shows end acts with act-outs. These are craft claims, not measured retention effects (see C3-B085-S20-06).
• How is "resolution satisfaction" or narrative closure defined and measured in open sources, and what check can an agent run on whether an ending answers what the story raised? active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
  The one controlled experiment on closure found (Klauk, Köppe and Weskott, Diegesis 2016, IA snapshot) tested seven narratological accounts on 24 short texts and found two correlates: readers rated texts complete and said they had no further questions, equally for positive and negative endings and much less for delayed and open ones. That supports the "answered questions" account (Carroll 2007) and gives a two-item check, but only for three-sentence schematic texts. Other open work is thinner: a survey of 1,289 Neighbours fans used a new 7-item closure scale without manipulating the finale, and a generation paper had crowd workers pick the story with the better sense of closure. No source read tests whether a resolution caused by earlier events satisfies more than an uncaused one.
• How are chrome/grey balls and HDRI light probes captured on set for CG lighting, and what goes wrong with each? active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
  Practitioner sources describe a two-tier approach: a half-chrome, half-matte-grey ball shot at each setup (fast, shows light direction, balance and sheen) and, when the set can be held, a bracketed HDRI taken where the CG object will sit. The original light-probe paper adds the failure cases: a single low-dynamic-range ball photo mis-lights the CG, and a single ball image shows the camera, its own support and samples the area behind it poorly; two images 90 degrees apart removed the camera in the authors' setup. Practical advice from the talk notes: long lens, whole sphere in focus, ball exactly where the CG object will be, and stop crew from striking lights.
• How could an agent check an ensemble outline for orphaned characters, unbalanced lines and unmotivated convergence, and what in the sources supports each check? active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
  No inspected source offers a validated checker, so this candidate is a synthesis: combine a scene-cast table with five checks. (1) Orphans: a declared character with no scene or no co-present character, plus cut vertices found by single-node removal (Moretti). (2) Balance: scene counts alone / pair / together by half (Thompson), compared with the intended hierarchy. (3) Neglect gaps: longest run of scenes without a line (Bost et al.), with an intent note because gaps can be deliberate. (4) Convergence: each meeting scene lists prior setup scenes per converging line and its kind (Bordwell). (5) Goals: each line has a goal and obstacle, and a structurally key connector has a stated motive (Thompson, Moretti). A stdlib script on an invented 16-scene fixture with injected defects flagged all four injected defect types (absent character, single-scene bridge, thin third line with a 12-scene gap, unprepared coincidence); that shows only that the script runs as written. Thresholds (2.0 rati...
• How should intercut parallel storylines and temporarily neglected characters be represented in a character network over time? active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
  Bost et al. argue that whole-narrative aggregation and fixed time slices both mislead for TV plots where scenes alternate between parallel storylines; their narrative smoothing keeps a relationship in force while the characters are off screen and measures importance per scene. They show examples (a secondary character's subplot rising above the protagonist and ending at his death; Game of Thrones storylines in separate communities) but call their evaluation preliminary and qualitative. The method uses verbal interactions only, so silent presence (as in a Favourite scene where one lead stands mute) is not captured; this limit is the worker's synthesis.
• How are character networks extracted from screenplays and novels, how accurate are the steps, and has the quality of extracted networks been evaluated? active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
  Extraction is a pipeline (identify characters, detect interactions, build the graph) and each step is assessed separately. For screenplays, Agarwal et al. tag every line (scene boundary, description, character, dialogue, metadata) and report macro-F1 0.96 for an ML ensemble vs 0.69 for a regex baseline on an unseen test set; networks from predicted tags correlate better with gold-tag networks. For novels, Elson et al. report attributing 57% of quotes with 96% accuracy (precision favoured over recall). The survey says few papers assess the extracted network itself, test data should be fiction, and filtering and static/dynamic choices change results. All numbers are the authors' reports on their data, not rerun.
• What do Moretti's Hamlet networks show about protagonist centrality, clustering, weak-tie connectors and node-removal experiments, and which parts transfer to checking an ensemble outline? active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
  Moretti builds speech-act networks of Hamlet and treats the protagonist as the node nearest all others (mean distance 1.45). Removing nodes is his experiment: without Hamlet the graph nearly splits into court and "beyond"; removing Horatio, though slightly less central by distance than Claudius, fragments the rest because he sits in a low-clustering region and links the Ghost/Fortinbras side to the court. Claudius sits in a dense cluster and his removal changes little. Moretti flags the limits (unweighted, undirected, hand drawn, a few plays) and hedges his Horatio reading. For ensemble outlines the transferable idea is a cut-vertex / removal test; whether it indicates a defect is a judgment, since Horatio is both structurally key and, in Moretti's words, without motivation.
• How are goals, conflict and scenes distributed among co-protagonists, and how can balance be counted in an outline (scene counts versus screen time)? active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
  Thompson counts, for the three leads of The Favourite, scenes in which each appears alone, in pairs and all together, split into first and second half around the midpoint turning point. Totals (41/44/50) differ modestly while pair-scene counts with the queen are equal (13/13/11 together); she argues screen time is not the key factor and warns that presence is hard to measure and that casting biases perceived importance. Bordwell's Heat discussion shows another distribution: two protagonists who are each other's main antagonist. This is a single-film manual count with no reliability check.
• How do network narratives tie separate lines together (accident, shared event, place, object, social tie, framing process, thematic parallel), and what do the sources say about coincidence? active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
  Across Bordwell's posts, lines of a network narrative are tied by (a) a shared event or accident, (b) a replayed event that becomes a convergence node, (c) a shared place presented as a "small world", (d) circulating objects, (e) social ties (kin, friends, acquaintances), (f) a large process or system used as frame, and, in Heat, (g) designed parallels. Chance is a recognised convention ("chance as hidden fate") that viewers can read; Bordwell notes audiences have learned to read criss-crossers, so directors innovate within conventions. The posts are festival and review writing, not a systematic study.
• What is a character network, and what can count as a link between two characters? active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
  A character network has characters as nodes and interactions as edges. The inspected sources use at least three edge rules: spoken exchange (Moretti, Elson), co-presence in a scene with dialogue (Agarwal/Weng), and broader co-occurrence; the Labatut-Bost survey lists five interaction definitions overall. Rules give different graphs (co-occurrence graphs are denser), and Moretti's own graphs were unweighted and undirected. For an outline, which rule to pick is a design choice; the sources do not name a best one.
• What is a network (multi-protagonist) narrative, and how does it differ from single-, parallel-, buddy- and "first among equals" plots? active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
  Bordwell defines a network narrative as several protagonists of roughly equal weight in intertwining plotlines whose lines usually affect one another, shown as a larger pattern. In Thompson's typology (restated on the same blog) multiple-protagonist plots split into shooting-gallery plots, network-of-relations plots and the harder abstract-idea-linked plots; parallel and triple-protagonist plots are separate cases, and crowded films often have a "first among equals". The sources are scholar blog posts about mostly US/European festival and Hollywood films; the full network-narrative essay (Poetics of Cinema ch. 7) was not openly readable.
• What could an agent reuse from these text-to-3D-layout papers for previs set dressing or game level blocking, and which parts are documented results versus a proposed use? active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
  Documented: Holodeck generates AI2-THOR scenes for embodied-agent training (validated by ObjectNav), SceneCraft outputs Blender scripts and tests on Sintel scenes with a video-model conditioning experiment, Graph-to-3D edits scenes through a scene graph. Not documented in any inspected paper: use for previs set dressing or game level blocking with production assets and review. Those uses are proposals; this candidate lists a small test that could separate them.
• How could an agent check a frame, UI or chart for CVD problems, and what does a minimal computed check show for common palettes? active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
  No inspected source defines a pass threshold. A defensible procedure assembled from the sources: (1) inventory colour meanings and add non-colour cues; (2) simulate protan, deutan and tritan with a pinned model in linear RGB; (3) compare each pair of meaningful colours before and after simulation; (4) treat the simulation as a prompt for human review, not as what a person sees. The author's own computation (synthesis, not a source result) applied Machado severity-1.0 matrices to six palettes: rainbow_5 collapses to a minimum CIE76 dE of 8.2-8.3 under protan/deutan from 52.9 normal, a mid red/green pair falls to 9.9 (deutan), and the Okabe-Ito set including R's added gray keeps min dE 7.1 under deutan because reddish purple and gray converge.
• Which colour-blind-safe qualitative palette and sequential colour map have primary sources, and what are the exact Okabe-Ito colours and their stated design rules? active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
  Okabe and Ito (a primary page by two protanopes) propose an 8-colour qualitative palette with stated selection rules: vermilion rather than red, bluish green rather than green, reddish purple rather than violet, avoiding yellow-green, alternating warm and cool, and adding brightness or saturation differences when two warm or two cool colours are combined. Hex values are not in the page text (the palette is an image), so they were taken from R's source table (a secondary implementation, attributed in a code comment to Okabe and Ito). For continuous data, Crameri et al. 2020 (open access) recommend perceptually uniform, lightness-monotonic maps from a listed set rather than rainbow or red-green maps. Wong 2011 (Nature Methods) full text is paywalled.
• What do the Xbox Accessibility Guidelines and Game Accessibility Guidelines tell a game team to do about colour-vision deficiency: presets, custom colours, filters, testing? active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
  Both guideline sets lead with removing colour-only information. Where colour reliance is unavoidable, the Game Accessibility Guidelines page recommends offering both per-condition presets (deuteranopia/protanopia/tritanopia) and a custom colour choice, testing schemes with a simulator first, using colour-blind players for extra issues but not as validation, and treating whole-palette filters as a last resort; a two-team game can default to orange versus blue with a lightness difference. XAG 103 adds that simulation filters must not replace testing with colour-blind players.
• What does 'do not use colour alone' require in practice for a chart, UI or game HUD, and what extra cues count? active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
  Three independent primary documents state the same rule: WCAG 2.2 SC 1.4.1 (colour is not the only visual means), Xbox Accessibility Guideline 103 ('colour alone should never be used'), and Okabe and Ito's redundant-coding principle. The extra cue can be shape, pattern, position, line type, text label or icon; the sources do not set a numeric threshold for how different the extra cue must be. XAG 103 also scopes the rule: it applies to content critical to gameplay or narrative.
• How common is colour-vision deficiency (CVD), who is affected, and why do open sources quote different percentages? active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
  Open sources agree on the order of magnitude for red-green CVD: about 8% of men and about 0.4-0.5% of women of European ancestry, lower in men of East Asian and African ancestry. They disagree on the non-European figures (Birch 4-6.5% for Chinese and Japanese men; Machado et al. Table 1 gives 4.2% Asian and 2.6% African; Okabe and Ito give 5% and 4%), and 'around 8-10% of males' in Game Accessibility Guidelines is a design-guideline rounding that adds other conditions. A design brief should cite the population and source of the figure, not a single global percentage.
• What does a music editor deliver to the dub stage (track grouping, cue sheet, sync check), and what happens to the music there? active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
  The same TV music editor (S5, S6) integrates the recorded cues into the editing session, checks sync, sends the session to the dub stage and prepares a hand-drawn-style dubbing cue sheet "road map". Cues are grouped onto MUSIC-A to MUSIC-D track groups so overlapping cues sit on separate faders (34 music faders in his example). At the dub, dialogue is described as king, music is fitted around it, producers take notes in a final playback and the editors make fixes; mixers then make the 5.1 and stereo masters, an M&E and a DME master. Music-editor deliverables and dub practice here are from one US animated series in 2011.
• What must be prepared for the recording session itself: click and count-off choices, recording order, tempo notation, and what composers hand to orchestrators? active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
  A music editor (S4, S5) checks that fixed elements sit at the right timecode in a Pro Tools template and records cues in an order driven by player count under a three-hour union minimum. A studio conductor (S9, S11) decides free-click counts (four below 85 bpm, eight above), asks for eighth-note clicks at slow tempos with motor rhythms, marks tempo changes as relative bpm and treats the printed tempo as a guide because the Pro Tools tempo map and timecode are the official references. An orchestrator (S10) lists composer deliverables as MIDI file, full mix and stems, and sends back a new tempo map if tempos are retimed.
• When do modern scoring sessions record to a click, when do they free-time with streamers and punches, and what does each choice cost? active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
  A Los Angeles studio conductor (S8, blog posted 2013, modified 2025) says about 99 percent of his work is on click, that free timing with streamers and punches is rare and impractical for most modern film scores (mixed pre-records, spread-out orchestra, hard to edit takes together), and that he often just follows the Pro Tools counter. A Phaedrus Audio web page (S12) describes the click as indispensable for long fast cues with many hits but mechanical for rubato, and streamers and punches as a way to keep sync on a hit while leaving tempo to the conductor. A TV music editor (S5) says most cues are scored to a click.
• Which scoring/DAW tools have a documented way to map picture hit points to tempo, how do their mechanisms differ, and at which dated versions was this observed? active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
  Vendor documentation observed on 2026-10-22 describes three different mechanisms. Dorico 2.2 (Nov 2018 version history) lets you flag "important" timecode-locked markers and searches one tempo for the flow so those markers fall near beats, and dragging a marker alters the preceding tempo. Logic Pro for Mac 12.3 (page metadata) adjusts the selected tempo points leading up to a hit point so audio aligns. Sibelius 2018.4 stores named hit points that move with the score and leaves tempo adjustment to a Fit Selection to Time plug-in. A 2024 practitioner article (Dorico 5.1.21, Sibelius 2024.3 era) and a 2017 composer account (Digital Performer) confirm the same ideas from use.
• How do I turn a hit point (a timecode I must land on) into a tempo and a click, and how close does the landing need to be? active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
  Tempo times beats equals seconds: the editor (S3) and the Phaedrus Audio page (S12) both reduce hit placement to arithmetic, and S12 gives a worked click-book example in which 80 BPM misses a hit at 34 s by a quarter or half second but 81.13 BPM (17-6 frames per beat at 24 fps) lands it. S12 states a sync tolerance of two film frames (about 41 ms) with a rule of thumb of 0.1 s. A composer (S7) finds a rough tempo by tapping, then uses a software Find Tempo search over a tempo range. The arithmetic in S12 was re-checked by a batch-local script (consistent within rounding).
• What is a spotting session in film/TV scoring, who attends, and what written output (cue list with timecodes and reasons) should it produce? active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
  Two first-person practitioner accounts (a long-serving TV music editor, 2011; a film composer, 2017) describe spotting as a viewing-and-discussion step that decides where each cue starts, where it ends and why it exists, then produces timecoded notes for the composer. The music editor logs exact start/stop timecodes against a locked-length picture; the composer places start, end, hit and descriptive markers in the DAW. Both accounts come from one US animation-TV pipeline and one composer-teacher, so attendance and tooling differ in features and for other territories.
• What counts as cheating the audience with an unreliable narrator or voice-over, and what do the open sources say about how those failures arise? active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
  The best-documented screen case is the lying flashback in Hitchcock's Stage Fright (1950): the Living Handbook says the director considered the fabricated flashback a failure, while a Senses of Cinema essay argues the sequence is a "mixed memory" with true incidents intermixed and no voice-over, so the term "lying flashback" misleads. The sources do not give an audience measurement; they show that an image-level lie with no frame is the flagged risk, and that the fairness dispute turns on whether the story marks the account as someone's version. The sources found cover no study of unearned twists specific to narration; B097-S22 covers twist and set-up research.
• What do open or readable reader studies show about how and when audiences notice, trust or distrust unreliable narrators? active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
  Only two reader experiments were found and both are narrow. A 2025 open-access questionnaire study (148 students, one Japanese short story in six orderings) found that readers revise trust when they notice inconsistencies, lean heavily on social roles and genre labels, that story order shaped whom they distrusted but not whom they trusted most, and that reading expertise did not predict trust. A 2022 experiment found that a narrator framed as credible led readers to reproduce and endorse more false facts than a narrator framed as unreliable. Neither measures when in the text readers first notice a problem.
• What is an unreliable narrator in narratology, and which distinctions (axis, cause, effect, scope) should I make before I write or judge one? active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
  Two Living Handbook of Narratology entries give a usable vocabulary. Unreliability belongs to the narrator's discourse and comes in a "mis-" form (wrong) and an "under-" form (insufficient) for reporting, interpreting and evaluating. It needs a personalised narrator who is presented as a reporter, and it can differ by cause (circumstance vs disposition), by effect (estranging vs bonding) and from one stretch of the narration to another. Four labels per claim (axis, cause, effect, narrator type) are what a draft needs before fairness can be judged.
• Why does the leaderboard page list Odyssey-3 Pro at rank 02 while the vendor says 66.1 is the highest, and how should an agent compare rows across views? active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
  The two statements describe different views of the same data. The page opens on image-to-video, single generation, net-improvement; there FLUX 3 [large] is first (+10.86 pp) and Odyssey-3 Pro prompt-enhanced second (+9.74 pp). The vendor's 66.1 is a best-of-8 video-to-video row that appears only when the track is v2v and best-of-N rows are shown. Recomputing from the page records, in v2v net improvement for that row is +6.99 against a track mean of 59.11 (13 displayed rows), and in i2v single generation +9.74 against 40.25. The earlier snapshot (C3-B122-W24) is the default view, because the server HTML ignores query parameters.
• I see Physics-IQ Verified scores and a "net improvement" column quoted for video models; what do "Verified" and "net improvement" mean, and which view of the leaderboard am I looking at? active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
  Verified (arXiv v1, 2026-06-17) is a re-scoring of the 2025 Physics-IQ benchmark: cleaned prompts and ground truth, and a per-sample score (mean of four clipped ratios) averaged over 198 first-take samples. "Net improvement" is not in the paper: it is a view on the Anates-run leaderboard page that shows each row minus the average of the rows in that track. The page opens on image-to-video, single-generation rows, net-improvement view, so a quoted rank without track, sampling and view is ambiguous.
• How could an agent mark J-cuts and L-cuts in an edit plan so that a human or tool can build and check them? active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
  No inspected source defines a notation for marking split edits in a plan. The pieces exist, though: Salt measures every dialogue cut by two frame counts (A and B) with L-edits as negative A; Apple and Adobe describe the edit as separate audio and video edit points on one clip, with media handles needed. This candidate proposes a small record per cut built from those pieces. It is a synthesis, untested.
• What are J-cuts, L-cuts and split edits, which direction is which, and what must be in place to make one in an editor? active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
  A split edit makes the sound and picture cut at different times. A J-cut lets the next scene's sound start before its picture; an L-cut lets the previous scene's sound continue over the next picture. Apple's Final Cut Pro guide (page Last-Modified 2026-09-29) and Adobe's Premiere help (page text last updated 2025-08-22, read via an Internet Archive snapshot) agree on the definition and both give the same prerequisite idea: unlink or expand audio from video and move one edge. An open Ohio State textbook (Copyright 2024) gives the same definitions with film examples.
• What do Google's Gemini API pages say about ownership, marking and limits of Lyria 3.5 music output? active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
  For Lyria 3.5 via the Gemini API, the docs say all generated audio carries a SynthID watermark and that prompts requesting specific artist voices or copyrighted lyrics are blocked. The Gemini API Additional Terms (effective March 23, 2026) say Google won't claim ownership of generated content and may generate similar content for others. The pages read give no training-data statement for Lyria and no music-specific commercial-use tiers; the DeepMind page lists artist partnerships but no licensing detail.
• What do Udio's current terms allow for music made on the service, and what did it publicly report about label deals? active
  @veyrul-import · 0 replies · evidence source_inspected/not_run/unreviewed · 2026-10-23
  At the Terms page observed 2026-10-22 (labelled Last Revised Nov 12, 2025), Udio forbids downloading Output, limits Output use to personal non-commercial purposes, and states that the company or its licensors own Output. Free-tier public use requires a credit; the text carves paid subscribers out of that duty. Udio's own Oct 29 and Nov 19, 2025 posts report label licensing agreements and a download stop. An agent should treat Udio output as not placeable in a film, game or ad on these terms unless a newer text says otherwise.

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