{"schema":"record/v1","id":"art_01M5NNZZRS7WQ48R8WE2S4HZXF","type":"article","revision":1,"etag":"\"r1.s0\"","title":"What exactly did the auditory Kuleshov experiment (Baranowski & Hecht) do and find about music and judged emotion of a face, what are its limits, and what do its stimuli rights look like?","summary":"Read from the author's dissertation (Chapter 7, the 'in press' version; the journal body is paywalled and was not read, though the journal abstract matches). Thirty psychology students (21 female, 9 male, 20-31 y) watched 27 clips (3 per cell of a 3x3: music happy/sad/none x final-face expression neutral/happy/sad). Each 21 s clip: actor looking at a screen for 3 s, a 15 s muted neutral YouTube scene, 3 s final reaction. Music was unknown, instrumental, composer-categorised film music from online databases. Ratings: six basic emotions 0-5, with happiness and sadness analysed. Music affected happiness (F(2,58)=9.52, p<.001, partial eta squared .25) and sadness (F(2,58)=3.29, p=.044, .10) ratings; sad music lowered happiness ratings; happy music lowered sadness ratings versus sad music; sad music did not raise sadness significantly above no music; ratings had a floor effect. Stimuli rights (music databases, YouTube scenes) are not stated.","status":"active","body":{"text":"Read from the author's dissertation (Chapter 7, the 'in press' version; the journal body is paywalled and was not read, though the journal abstract matches). Thirty psychology students (21 female, 9 male, 20-31 y) watched 27 clips (3 per cell of a 3x3: music happy/sad/none x final-face expression neutral/happy/sad). Each 21 s clip: actor looking at a screen for 3 s, a 15 s muted neutral YouTube scene, 3 s final reaction. Music was unknown, instrumental, composer-categorised film music from online databases. Ratings: six basic emotions 0-5, with happiness and sadness analysed. Music affected happiness (F(2,58)=9.52, p<.001, partial eta squared .25) and sadness (F(2,58)=3.29, p=.044, .10) ratings; sad music lowered happiness ratings; happy music lowered sadness ratings versus sad music; sad music did not raise sadness significantly above no music; ratings had a floor effect. Stimuli rights (music databases, YouTube scenes) are not stated.\n\nCurator qualifications: Printed statistics verified in the thesis text. Curator-computed p-values (own incomplete-beta implementation): F(2,58)=9.52 gives p≈0.0003 and F(2,58)=3.29 gives p≈0.044, both consistent with the printed values. The contrast F(1,29)=3.12 gives two-tailed p=0.088 and one-tailed p=0.044, so the printed p=.037 matches neither. The identical 93.54/30.25 pair printed for both the happy-face and sad-face contrasts is confirmed. The producer's transcription-slip flags hold. 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: [component_reuse_restriction] Stimuli rights (music databases, YouTube scenes) not stated.\n\nEvidence status: statements located in the cited sources by a correlated desk review (Claude); not executed; not independently reviewed.","citations":[{"url":"https://openscience.ub.uni-mainz.de/server/api/core/bitstreams/fa5d222b-a1f3-4da5-81ec-aa66cd53de99/content","note":"work/baranowski_thesis.pdf Chapter 7 (producer text extraction baranowski_thesis.txt)"},{"url":"https://www.ebi.ac.uk/europepmc/webservices/rest/search?format=json&query=DOI%3A10.1177%2F0301006616682754&resultType=core","note":"cited at https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=DOI:10.1177/0301006616682754&format=json&resultType=core; work/baranowski_thesis.pdf Chapter 7 (producer text extraction baranowski_thesis.txt)"},{"url":"https://api.openalex.org/works/doi:10.1177/0301006616682754","note":"work/baranowski_thesis.pdf Chapter 7 (producer text extraction baranowski_thesis.txt)"},{"url":"https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=DOI:10.1177/0301006616682754&format=json&resultType=core","note":"observed URL (dated/alias form of the cited catalogue source; canonical identity retained)"}]},"categories":["T10","T14","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://openscience.ub.uni-mainz.de/server/api/core/bitstreams/fa5d222b-a1f3-4da5-81ec-aa66cd53de99/content","claim":"Read from the author's dissertation (Chapter 7, the 'in press' version; the journal body is paywalled and was not read, though the journal abstract matches). 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Thirty psychology students (21 female, 9 male, 20-31 y) watched 27 clips (3 per cell of a 3x3: music happy/sad/none x final-face expression neutral/happy/sad). Each 21 s clip: actor looking at a screen for 3 s, a 15 s muted neutral YouTube scene, 3 s final reaction. Music was unknown, instrumental, composer-categorised film music from online databases. Ratings: six basic emotions 0-5, with happiness and sadness analysed. Music affected happiness (F(2,58)=9.52, p<.001, partial eta squared .25) and sadness (F(2,58)=3.29, p=.044, .10) ratings; sad music lowered happiness ratings; happy music lowered sadness ratings versus sad music; sad music did not raise sadness significantly above no music; ratings had a floor effect. Stimuli rights (music databases, YouTube scenes) are not stated.\n\nCurator qualifications: Printed statistics verified in the thesis text. Curator-computed p-values (own incomplete-beta implementation): F(2,58)=9.52 gives p≈0.0003 and F(2,58)=3.29 gives p≈0.044, both consistent with the printed values. The contrast F(1,29)=3.12 gives two-tailed p=0.088 and one-tailed p=0.044, so the printed p=.037 matches neither. The identical 93.54/30.25 pair printed for both the happy-face and sad-face contrasts is confirmed. The producer's transcription-slip flags hold. 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