La colère féministe à Mexico, entre vagues et tourbillons
Bibliographic record
Abstract
Cette recherche-création explore la colère féministe à Mexico à travers une boîte contenant des cartes au style de loteria mexicana. Chaque carte contient des informations pertinentes sur la recherche et en les consultant toutes, on peut expérimenter l'intégralité du contenu de la recherche. En mettant l'accent sur la quatrième vague du mouvement féministe dans la ville (2017 - ), je présente des témoignages vidéo de sept femmes féministes qui parlent de leur expérience de la colère. À côté des témoignages, je présente deux vidéos avec des récits contextuels. L'une pour expliquer l'histoire de Mexico en tant qu'espace féministe, et la seconde pour approfondir sur la colère féministe en tant que matière première pour la création.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.006 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.013 | 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; 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".