Ritualisations du féminin lors d’une campagne électorale au Brésil
Bibliographic record
Abstract
L’objectif de cet article est d’analyser la participation des femmes à la scène politique électorale, en étudiant les valeurs et les symboles utilisés en tant qu’emblèmes de campagne. En prenant comme référence empirique la campagne électorale de 1996 des candidates à la mairie de trois villes du Nordeste brésilien, il s’agit d’analyser les symboles et les valeurs qui font allusion aux rôles féminins pendant cette période. On y mobilise des valeurs universelles qui se réfèrent aux rôles féminins conventionnels et des valeurs acquises par les femmes lors de la participation à divers espaces politiques. Cela démontre quelles sont les stratégies utilisées pour la reconnaissance des femmes dans un champ politique traditionnellement caractérisé par la présence masculine.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.006 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.082 | 0.001 |
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; both teacher heads agree on what is shown here.
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".