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Record W1934533587 · doi:10.7202/1011654ar

Les enquêtrices dans le film policier français des années 1970 et 1980 : des femmes qui en savent trop ?

2012· article· fr· W1934533587 on OpenAlexvenueno aff
Gwénaëlle Le Gras

Bibliographic record

VenueCinémas Revue d études cinématographiques · 2012
Typearticle
Languagefr
FieldArts and Humanities
TopicHistorical Studies and Socio-cultural Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArtPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Alors que dans le cinéma policier français, les rôles attribués aux femmes sont habituellement des rôles de garce ou de victime, apparaissent sous l’Occupation des figures d’enquêtrices, essentiellement dans la comédie policière, qui ne ressurgiront de manière significative qu’au tournant des années 1970. Ces nouvelles héroïnes, jouées par des vedettes, incarnent la Loi, officieusement ou officiellement, et bénéficient de prérogatives traditionnellement masculines, en réponse aux changements législatifs qui permettent aux femmes d’accéder à des métiers « d’hommes » et d’avoir, en théorie, un statut faisant d’elles leurs égales. Après une analyse statistique de la présence et de l’évolution de cette figure nouvelle dans le film policier français, l’auteure étudiera les effets contradictoires, sur le plan narratif et esthétique, qu’elle a sur le genre, entre fétichisme et féminisme populaire, à travers sa construction et sa réception dans La femme flic (Boisset, 1980) et dans Vivement dimanche ! (Truffaut, 1983).

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.563
Threshold uncertainty score0.878

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0090.004
Scholarly communication0.0030.002
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0070.001

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 head0.047
GPT teacher head0.266
Teacher spread0.219 · 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; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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
Published2012
Admission routes1
Has abstractyes

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