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Record W4413190674 · doi:10.7202/1119049ar

La musique composée par John Powell pour <i>Dragons</i> (2010) : la force des éléments thématiques

2022· article· fr· W4413190674 on OpenAlexaffvenue
Guillaume Debay

Bibliographic record

VenueLes Cahiers de la Société québécoise de recherche en musique · 2022
Typearticle
Languagefr
FieldComputer Science
TopicMusic Technology and Sound Studies
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsArt

Abstract

fetched live from OpenAlex

L’article analyse la structure narrative et musicale du film Dragons de DreamWorks, en mettant en lumière les mécanismes favorisant sa cohérence interne. L’hypothèse principale repose sur l’idée que cette cohérence structurelle renforce la prévisibilité et la mémorisation de l’oeuvre par le public. À travers une approche intégrant la neuroscience, l’étude examine en particulier le thème central du vol et de l’amitié, dont le traitement par le compositeur John Powell assure une parfaite synergie entre musique et narration. L’analyse des scènes clés, telles que « Test Drive » et « Forbidden Friendship », révèle une organisation musicale qui soutient et intensifie le récit. Les résultats suggèrent que Dragons s’appuie sur des principes structurels solides, garantissant une unification du discours narratif et musical.

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.

How this classification was reachedexpand

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)0.014
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesScience and technology studies, Research integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.465
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0140.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0020.004
Scholarly communication0.0000.001
Open science0.0030.001
Research integrity0.0040.011
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 head0.059
GPT teacher head0.333
Teacher spread0.274 · 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

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2022
Admission routes2
Has abstractyes

Explore more

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