Le numérique et l’enseignement au temps de la COVID-19 : entre défis et perspectives – Partie 1
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
En raison de la situation mondiale lie la COVID-19, et selon les donnes publies par l'UNESCO (2020a), quelque 1,6 milliard d'apprenants dans le monde, du prscolaire l'universit, n'ont pas t en mesure, un moment ou un autre, de frquenter leur tablissement d'enseignement depuis le dbut de la pandmie. Concrtement, ce chiffre inquitant confirme que plus de 94 % des apprenants scolariss sur Terre ont t touchs par cette crise sanitaire. ce jour, plus de 190 pays ont ordonn la fermeture de l'ensemble de leurs tablissements d'enseignement, des coles primaires aux universits, un moment ou un autre, au cours des derniers mois. Et avec l'arrive de la deuxime vague de COVID-19, les tablissements d'enseignement universitaires se sont une fois de plus dirigs vers l'enseignement distance, et ce, pour plusieurs mois.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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