Inégalités et minorisation des identités chez les femmes artistes dans la francophonie canadienne
Bibliographic record
Abstract
Bien que les femmes artistes souhaitent une reconnaissance de leurs oeuvres indépendamment de leur genre, de leur langue ou de l’appartenance à un groupe culturel, leurs conditions de pratique sont parfois liées à ces statuts. À travers une étude sociodémographique des artistes de la francophonie canadienne, nous analysons les données relatives aux femmes artistes. Nous montrons que, bien qu’elles détiennent des diplômes plus élevés que leurs homologues masculins, elles sont considérablement moins bien rémunérées que ces derniers. Nous cherchons alors à comprendre si des processus de minorisation des femmes de l’activité professionnelle artistique en milieu francophone peuvent expliquer certaines inégalités et comment la production des discours sur l’identité (femme, francophonie, minorité linguistique) renforce la tension entre l’art et la perspective identitaire.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.009 | 0.005 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".