Perspectives expérientielles postpandémiques de réinvestissement technopédagogique chez le personnel enseignant universitaire
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
L'enseignement distance (EAD) est devenu pratiquement universel dans les universits ds l'arrive de la COVID-19.Ce compte rendu d'exprience prsente l'impact des pratiques d'EAD acquises par le personnel enseignant en temps de pandmie et poursuivi de retour l'enseignement en prsentiel.Les analyses quantitatives et qualitatives d'une tude mene en 2020-2021 auprs du personnel enseignant d'une universit, en trois temps, informent sur l'volution de l'EAD et du sentiment d'efficacit personnelle, permettant de dgager les perspectives postpandmiques de rinvestissements technopdagogiques.Comme l'une des personnes participantes l'a soulign, notre faon d'enseigner a chang pour toujours .
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.003 | 0.002 |
| 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