COVID-19 et offre de cours en ligne au Niger : prospection sur les raisons d’un échec
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Pour faire face la pandmie de COVID-19 l'chelle mondiale, les mesures de confinement et de fermeture des coles et universits ont engendr l'usage de formes diversifies d'enseignement distance grande chelle afin d'assurer une continuit pdagogique dans des conditions indites et improvises. Au Niger, le ministre de l'Enseignement suprieur propose une initiative comme solution alternative : organiser les enseignements sur les rseaux sociaux WhatsApp et Telegram. Ces offres n'ont permis aucune activit de voir le jour jusqu' la rouverture des coles et universits le 1 er juin 2020. Le prsent article analyse les conditions de l'offre et les raisons de l'chec afin de tirer les leons qui s'imposent et d'anticiper des offres porteuses dans les crises futures.
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.
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 | 0.009 |
| 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 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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 it