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Record W2959893359 · doi:10.3167/screen.2018.030203

Off the Beaten Path

2018· article· en· W2959893359 on OpenAlexaff
Romain Chareyron

Bibliographic record

VenueScreen Bodies · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicFrench Historical and Cultural Studies
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsHomosexualityMovie theaterHuman sexualitySociologyNarrativeLimitingAestheticsDiversity (politics)PopularityGender studiesSocial psychologyPsychologyHistoryArtLiteratureArt historyAnthropology

Abstract

fetched live from OpenAlex

This article offers a reflection on the ways in which the representation of gays and lesbians in contemporary French cinema has mostly focused on specific and limiting traits. With their choice of locales (Paris and other cities) and bodily characteristics (young, fit), these films convey a restrictive view of homosexuality. Such portrayals have gained traction due to their numerous iterations in films and in the media. By focusing on the works of three directors who have adopted a radically different perspective in their portrayals of homosexuality, this article will highlight the close ties that exist between sexuality and topography. Providing a more true-to-life account of homosexuality, the films move away from cities to investigate the geographical margins. In so doing, they question the tenets of France’s republican ideals, where differences tend to be smoothed out in favor of unity and homogeneity. These films reinstate diversity and individuality at the heart of their narratives.

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)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.047
Threshold uncertainty score0.124

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0150.014
Scholarly communication0.0130.007
Open science0.0010.006
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0370.008

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 head0.044
GPT teacher head0.211
Teacher spread0.167 · 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 designNot applicable
Domainnot available
GenreOther

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
Published2018
Admission routes1
Has abstractyes

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