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Record W4210329633 · doi:10.7202/1084969ar

La bande-son d’Équateur (1983). L’Afrique selon Serge Gainsbourg

2021· article· fr· W4210329633 on OpenAlexvenueno aff
Philippe Gonin

Bibliographic record

VenueRevue musicale OICRM · 2021
Typearticle
Languagefr
FieldSocial Sciences
TopicPolitical and Social Issues
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Deuxième des quatre longs-métrages réalisés par Gainsbourg, Équateur est le seul à s’inspirer d’un roman, Le Coup de lune de Georges Simenon (1933), qui raconte une histoire d’amour dans le Gabon colonial et raciste des années cinquante. Si c’est l’érotisme et la brutalité des relations entre Timar et Adèle qui intéressent avant tout Gainsbourg, celui-ci accorde un soin tout particulier à proposer une vision de l’Afrique s’éloignant des clichés exotiques. Tourné en extérieur, le film baigne dans une atmosphère humide et pesante. Pour son projet, Gainsbourg compositeur s’efface devant Gainsbourg metteur en scène avec une partition musicale très réduite. S’il est bien question d’une vision musicale de l’Afrique, ce n’est pas dans la musique qu’il faut la chercher, mais bien plutôt dans le traitement des voix et des bruits analysés ici en détail. Comme le dit Gainsbourg, « en fait, la musique, c’est le film ».

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.933
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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.

Opus teacher head0.034
GPT teacher head0.302
Teacher spread0.268 · 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 designNot applicable
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
Published2021
Admission routes1
Has abstractyes

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