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Record W2123784292 · doi:10.7202/001306ar

Sexualité et photographie

2009· article· fr· W2123784292 on OpenAlexvenueno aff
Julie Lavigne

Bibliographic record

VenueProtée · 2009
Typearticle
Languagefr
FieldComputer Science
TopicCultural Insights and Digital Impacts
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Il est difficile de nier l’impact de la pornographie sur la représentation du corps nu en photographie commerciale comme artistique. L’importance croissante de l’industrie pornographique et de la pornographie amateur depuis l’avènement d’Internet influe indéniablement sur la représentation du corps sexué. Depuis une quinzaine d’années, presque toutes les représentations de la sexualité en arts visuels montrent des traits ou utilisent des stratégies propres à la pornographie. Certaines productions, comme celles de Natacha Merritt, brouillent les frontières entre l’art et la pornographie au point de rendre caduques toutes distinctions. D’autres productions, comme celles de Elinor Carucci ou de Geneviève Cadieux, préféreront présenter littéralement le hors-champ de la pornographie. Dans les deux cas, la présence de cette dernière est indéniable et confirme qu’elle agit à titre de nouvelle norme dans la représentation de la sexualité. En repoussant également l’horizon d’attente des photographies à caractère sexuel, la pratique qui se réfère à la pornographie se permet d’aborder le corps sans compromis et sans pudeur. L’article se propose donc d’analyser comment natacha02_t de Natacha Merritt, Making Love d’Elinor Carucci, et Loin de moi, et près du lointain de Geneviève Cadieux interprètent les codes pornographiques et la signification des écarts qu’elles effectuent vis-à-vis de la norme sexuelle instituée par l’industrie.

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)0.001
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.049
Threshold uncertainty score0.164

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0030.008
Scholarly communication0.0070.004
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0490.005

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 head0.339
GPT teacher head0.364
Teacher spread0.024 · 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

Citations2
Published2009
Admission routes1
Has abstractyes

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