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Record W6917885298 · doi:10.58079/piq

Genre, cultures et sexualités

2014· other· fr· W6917885298 on OpenAlexaboutno aff

Bibliographic record

VenueOpenEdition (OpenEdition) · 2014
Typeother
Languagefr
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsIdentity (music)Context (archaeology)PretextSecrecy

Abstract

Les récents débats sur le rôle du Panthéon et les actions menées en faveur de la « panthéonisation » des femmes (voir le rapport remis au président de la République par Philippe Bélaval, président du Centre des monuments nationaux le 10 octobre 2013) ont rappelé à qui l'ignorerait encore, certaines inégalités concernant la postérité des créatrices. Lors des séances du séminaire « Genre, cultures et sexualités » qui débuteront en janvier 2014, nous souhaitons interroger les procédés ou pratiques d'exclusion des femmes mais également les questions de transmission qui mènent à l'oubli ou à l'invisibilisation de créatrices le plus souvent reconnues, récompensées et actives de leur vivant.

Stored with the screening record, where it is evidence for the labels above.

How this classification was reachedexpand

The three-model screen

all 5,600 screened works →

All three models called this out of scope.

stratum: french · design weight: 1554.47 (the sample is stratified; any rate computed without the weight is wrong)
Claude Opus 4.8OUT
genre: infrastructure/announcement
about Canada: no
confidence: medium

Announcement of a gender, cultures and sexualities seminar series on the exclusion and invisibilization of women creators; the object is cultural recognition and canon formation, not the research system.

GPT-5.6 (high)OUT
genre: infrastructure/announcement
about Canada: no
confidence: high

This announces a seminar about gender, culture, and sexuality rather than studying research practice.

Grok 4.5T3 · adjacent, not in scope
genre: other
about Canada: no
confidence: high

Seminar series announcement on gender, cultures, and sexualities; not an empirical or conceptual study of research.

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)0.007
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 score0.058
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0070.007
Scholarly communication0.0090.004
Open science0.0010.004
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0400.003

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 head0.023
GPT teacher head0.295
Teacher spread0.272 · 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
Published2014
Admission routes1
Has abstractyes

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