Le télétravail sous les tropiques : les enseignant·es de Guadeloupe et la continuité pédagogique
Bibliographic record
Abstract
Cet article présente les résultats d’une étude sur le télétravail des enseignant·es guadeloupéen·nes (département français d’Outre-mer) en situation de confinement. L’enquête avait pour objectif de mettre au jour les conditions de vie et de travail de cette population pendant l’épidémie de Covid-19. Les résultats obtenus montrent que les stratégies de smartworking mises en place par le gouvernement français et les administrations locales pour faire face à la crise ont engendré une surcharge de travail et un haut niveau d’insatisfaction chez les enseignant·es de l’île, tout en mettant en lumière une série d’inégalités. De plus, il s’avère que les enseignant·es n’ont atteint que partiellement leurs objectifs éducatifs et ont subi le manque de moyens techniques et de ressources numériques dont souffrent les territoires ultramarins.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 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".