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Record W2801821049

The role of music, sound effects & speech on absorption in a film: The congruence-associationist model of media cognition

2006· article· en· W2801821049 on OpenAlex
Annabel J. Cohen, Kelti MacMillan, R. O. Drew

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueCanadian acoustics · 2006
Typearticle
Languageen
FieldComputer Science
TopicMusic and Audio Processing
Canadian institutionsUniversity of Prince Edward Island
Fundersnot available
KeywordsJudgementCongruence (geometry)NarrativeAssociation (psychology)Meaning (existential)Absorption (acoustics)PsychologyCognitionCognitive psychologyComputer scienceAcousticsSocial psychologyLinguisticsEpistemology
DOInot available

Abstract

fetched live from OpenAlex

The contribution of soundtracks that represents only one domain, speech, sound effects, and music to absorption or engagement of an audience in a story is discussed. Congruence-Association Model (C-A M) assumes that the audience's goal is to create a meaningful story from the material of the film that include scenes, text, music, effects, and speech. At lower level of analysis, the information in the distinct channels is analyzed for meaning and structures, where some information leaks upward to long-term memory which then provides inference about the narrative. The principle of association aggregates meaning for the five channels, and the principle of Congruence accounts for impact of shared structural features across channels. Judgement of realism and quality provide measures of control to assure that absorption judgments are based on a sense of general professionalism of the production.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.543
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.010
GPT teacher head0.199
Teacher spread0.190 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it