Musique et immersion spectatorielle dans les scènes de poursuite des films d’action du cinéma hollywoodien contemporain
Bibliographic record
Abstract
En tant qu’un des principaux types de scène des films d’action, la poursuite constitue un point culminant de la narrativité filmique au sein duquel la réponse sensorielle du spectateur atteint son paroxysme. Afin de considérer quels sont les agents musicosonores de l’immersion spectatorielle dans les scènes de poursuite du cinéma hollywoodien contemporain et la structure rhétorique de ce type de scène, cet article propose une approche au carrefour des recherches sur l’immersion spectatorielle au cinéma (Barker), l’immersion dans les musiques de jeux vidéo (Grimshaw, Calleja), de même que la création musicale dans le cadre de l’Electronic Dance Music (Butler). Les caractéristiques musicales récurrentes et prégnantes sont ici soulignées pour tracer le portrait de l’esthétique sonore des scènes de poursuite réalisées par les compositeurs affiliés à Remote Control.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".