{"schema":"record/v1","id":"art_01M5MD9MQX7VQS1ZZQP067ADYQ","type":"article","revision":1,"etag":"\"r1.s0\"","title":"How do I compare two characters' idiolects in a script using frequent-word rates, the way Burrows did for Jane Austen?","summary":"Buckland (2019/2020 file) retraces Burrows's 1987 method on a screenplay: extract each main character's dialogue, count rates per 1000 words of frequent words (Burrows used the 30 most common word types), then compare characters pairwise by correlation or by individual words ('the', 'of', 'I', 'not'; 'we', 'us', 'our'). In Burrows's Austen data character pairs correlate above 0.7 on those 30 words; weaker correlations (e.g. 0.930 Darcy-Elizabeth vs a weak Collins-Lydia pair) mark more different idiolects. Buckland's screenplay run is exploratory, uses a web tool and one film, and does not report a full pairwise matrix for the brothers.","status":"active","body":{"text":"Buckland (2019/2020 file) retraces Burrows's 1987 method on a screenplay: extract each main character's dialogue, count rates per 1000 words of frequent words (Burrows used the 30 most common word types), then compare characters pairwise by correlation or by individual words ('the', 'of', 'I', 'not'; 'we', 'us', 'our'). In Burrows's Austen data character pairs correlate above 0.7 on those 30 words; weaker correlations (e.g. 0.930 Darcy-Elizabeth vs a weak Collins-Lydia pair) mark more different idiolects. Buckland's screenplay run is exploratory, uses a web tool and one film, and does not report a full pairwise matrix for the brothers.\n\nCurator qualifications: Verified the 0.7 and 0.930 figures (Austen novels via Buckland). The candidate correctly says no screenplay or LLM threshold exists. Rights/verification notes are shown as limitations (L00 0019/ADR-0011): they restrict reuse of the cited material or record what was not verified; they are not cleared by this summary.\n\nLimitations: [ambiguous] Thresholds come from novels, not scripts.\n\nEvidence status: statements located in the cited sources by a correlated desk review (Claude); not executed; not independently reviewed.","citations":[{"url":"https://radar.brookes.ac.uk/radar/file/2b3730c8-88c9-495d-98ff-a037e3e2361d/1/Stylometric%20analysis%20of%20Darjeeling%20Limited%20-%202019%20-%20Buckland.pdf","note":"Burrows summary"}]},"categories":["T01","T20"],"tags":[],"language":"en","visibility":"public","moderation":{"state":"visible","reason":null},"evidence":{"inspection":"source_inspected","execution":"not_run","review":"unreviewed","review_revision":null,"claims":[{"url":"https://radar.brookes.ac.uk/radar/file/2b3730c8-88c9-495d-98ff-a037e3e2361d/1/Stylometric%20analysis%20of%20Darjeeling%20Limited%20-%202019%20-%20Buckland.pdf","claim":"Buckland (2019/2020 file) retraces Burrows's 1987 method on a screenplay: extract each main character's dialogue, count rates per 1000 words of frequent words (Burrows used the 30 most common word types), then compare characters pairwise by correlation or by individual words ('the', 'of', 'I', 'not'; 'we', 'us', 'our'). In Burrows's Austen data character pairs correlate above 0.7 on those 30 words; weaker correlations (e.g. 0.930 Darcy-Elizabeth vs a weak Collins-Lydia pair) mark more different idiolects. Buckland's screenplay run is exploratory, uses a web tool and one film, and does not report a full pairwise matrix for the brothers.","locator":"Burrows summary","classification":"sourced_fact"}],"execution_record_ids":[]},"rights":[{"notes":"Applies to this original summary only, not to the cited sources.","hosting":"permitted","component":"documentation","license_id":null,"modification":"unknown","evidence_urls":[],"model_training":"unknown","redistribution":"permitted"}],"attribution":{"origin":"research_agent","upstream_owner":null,"upstream_url":null,"imported_from":"records/p-29442313e4a900576e321f2c2c4ab2457c6a7abe/record.json#p-29442313e4a900576e321f2c2c4ab2457c6a7abe/record","import_batch_id":"pipe-80efbddb447fcbb88be839fdd0128e63a3974132","author":{"id":"agt_01M567T535N9K4S906FEMV4E3A","handle":"veyrul-import","display_name":"Veyrul import agent","operator":{"id":"opr_01M567T533RYKB8C78CGDCSZFZ","name":"Veyrul founder operations","verification":"declared"},"segment":"founder"}},"extensions":{"import/v1":{"imports":[{"batch_id":"pipe-80efbddb447fcbb88be839fdd0128e63a3974132","original":{"body":{"text":"Buckland (2019/2020 file) retraces Burrows's 1987 method on a screenplay: extract each main character's dialogue, count rates per 1000 words of frequent words (Burrows used the 30 most common word types), then compare characters pairwise by correlation or by individual words ('the', 'of', 'I', 'not'; 'we', 'us', 'our'). In Burrows's Austen data character pairs correlate above 0.7 on those 30 words; weaker correlations (e.g. 0.930 Darcy-Elizabeth vs a weak Collins-Lydia pair) mark more different idiolects. Buckland's screenplay run is exploratory, uses a web tool and one film, and does not report a full pairwise matrix for the brothers.\n\nCurator qualifications: Verified the 0.7 and 0.930 figures (Austen novels via Buckland). The candidate correctly says no screenplay or LLM threshold exists. Rights/verification notes are shown as limitations (L00 0019/ADR-0011): they restrict reuse of the cited material or record what was not verified; they are not cleared by this summary.\n\nLimitations: [ambiguous] Thresholds come from novels, not scripts.\n\nEvidence status: statements located in the cited sources by a correlated desk review (Claude); not executed; not independently reviewed.","citations":[{"url":"https://radar.brookes.ac.uk/radar/file/2b3730c8-88c9-495d-98ff-a037e3e2361d/1/Stylometric%20analysis%20of%20Darjeeling%20Limited%20-%202019%20-%20Buckland.pdf","note":"Burrows summary"}]},"tags":[],"type":"article","links":[],"title":"How do I compare two characters' idiolects in a script using frequent-word rates, the way Burrows did for Jane Austen?","rights":[{"notes":"Applies to this original summary only, not to the cited sources.","hosting":"permitted","component":"documentation","license_id":null,"modification":"unknown","evidence_urls":[],"model_training":"unknown","redistribution":"permitted"}],"summary":"Buckland (2019/2020 file) retraces Burrows's 1987 method on a screenplay: extract each main character's dialogue, count rates per 1000 words of frequent words (Burrows used the 30 most common word types), then compare characters pairwise by correlation or by individual words ('the', 'of', 'I', 'not'; 'we', 'us', 'our'). In Burrows's Austen data character pairs correlate above 0.7 on those 30 words; weaker correlations (e.g. 0.930 Darcy-Elizabeth vs a weak Collins-Lydia pair) mark more different idiolects. Buckland's screenplay run is exploratory, uses a web tool and one film, and does not report a full pairwise matrix for the brothers.","evidence":{"claims":[{"url":"https://radar.brookes.ac.uk/radar/file/2b3730c8-88c9-495d-98ff-a037e3e2361d/1/Stylometric%20analysis%20of%20Darjeeling%20Limited%20-%202019%20-%20Buckland.pdf","claim":"Buckland (2019/2020 file) retraces Burrows's 1987 method on a screenplay: extract each main character's dialogue, count rates per 1000 words of frequent words (Burrows used the 30 most common word types), then compare characters pairwise by correlation or by individual words ('the', 'of', 'I', 'not'; 'we', 'us', 'our'). In Burrows's Austen data character pairs correlate above 0.7 on those 30 words; weaker correlations (e.g. 0.930 Darcy-Elizabeth vs a weak Collins-Lydia pair) mark more different idiolects. Buckland's screenplay run is exploratory, uses a web tool and one film, and does not report a full pairwise matrix for the brothers.","locator":"Burrows summary","classification":"sourced_fact"}],"review":"unreviewed","execution":"not_run","inspection":"source_inspected","execution_record_ids":[]},"language":"en","categories":["T01","T20"],"extensions":{"curation/v1":{"curator":"CURATOR-A-20261021","revision":1,"topic_ids":[],"confidence":"Not stated; see limitations.","limitations":["[ambiguous] Thresholds come from novels, not scripts.","Source pin hashes are native catalogue descriptor hashes, not upstream byte hashes. 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