Réinventer les syndicats d’enseignants en Inde. Perspectives à partir d’une étude de cas dans l’État du Maharashtra
Bibliographic record
Abstract
L’Inde compte une multitude de syndicats d’enseignants, mais leurs efforts visant à faire progresser la qualité de l’éducation n’ont guère été couronnés de succès jusqu’à présent. Dans ce contexte, cet article présente le cas de l’Active Teachers Forum, une association informelle rassemblant plus de neuf mille enseignants dans l’État du Maharashtra. En examinant les mesures concrètes prises par cette association pour améliorer la qualité de l’éducation, l’article suggère des pistes pour surmonter certaines difficultés actuelles des syndicats d’enseignants en Inde. L’analyse propose un nouveau modèle pour réinventer le syndicalisme enseignant, afin d’aider à résoudre certains des problèmes persistants auxquels est confronté le système éducatif indien.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.006 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.014 | 0.010 |
| Scholarly communication | 0.008 | 0.007 |
| Open science | 0.002 | 0.014 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.017 | 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".