Bérengère Marques-Pereira et Petra Meier (Éds) : Genre et politique en Belgique et en Francophonie
Bibliographic record
Abstract
Le theme genre et politique est aborde par des sociologues, des juristes, des historien-ne-s autant que par des politologues. L'ouvrage en question presente une synthese des travaux effectues dans la science politique belge et s'interroge egalement dans un chapitre introductif sur leurs conditions institutionnelles, en particulier les risques d'une trop forte politisation de ces recherches car elles dependent de financements exterieurs. Malgre l'absence d'un soutien institutionnel permanent dans les universites, un nombre important de travaux est repere. L'introduction en presente un survol, les articles qui suivent s'interessent a des questions de recherche actuelles. Le panorama est complete par trois contributions provenant d'autres regions francophones (la France, la Suisse romande et le Quebec) qui permettent de mettre les etudes belges en perspective et de montrer la ressemblance des themes etudies ou comme le resume Jane Jenson : « On
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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".