COVID-19 et offre de cours en ligne au Niger : prospection sur les raisons d'un échec
Bibliographic record
Abstract
Pour faire face à la pandémie de COVID-19 à l'échelle mondiale, les mesures de confinement et de fermeture des écoles et universités ont engendré l'usage de formes diversifiées d'enseignement à distance à grande échelle afin d'assurer une continuité pédagogique dans des conditions inédites et improvisées.Au Niger, le ministère de l'Enseignement supérieur propose une initiative comme solution alternative : organiser les enseignements sur les réseaux sociaux WhatsApp et Telegram.Ces offres n'ont permis à aucune activité de voir le jour jusqu'à la réouverture des écoles et universités le 1 er juin 2020.Le présent article analyse les conditions de l'offre et les raisons de l'échec afin de tirer les leçons qui s'imposent et d'anticiper des offres porteuses dans les crises futures.
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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 | 0.003 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".