Pratiques numériques des enseignants en Bretagne pendant le confinement. Analyse anthropologique des premières données qualitatives et quantitatives.
Bibliographic record
Abstract
Pratiques numriques des enseignants en Bretagne pendant le confinement. Analyse anthropologique des premires donnes qualitatives et quantitatives. Formation et profession 28(4 hors-srie), 2020 sum Cet article s'interroge sur les dimensions personnelles et collectives des parcours d'appropriation des technologies numriques par les enseignants du second degr en se focalisant sur leurs pratiques numriques durant le confinement. Une approche qualitative par entretiens semi-directifs vient complter les donnes quantitatives recueillies partir de quatre enqutes ralises auprs des enseignants, des lves et des familles de 2018 2020. Les rsultats prsentent diffrentes dynamiques d'appropriation et s'attardent aux relations entre les diffrents acteurs, enseignants, lves et parents. Ils interrogent galement l' organisation des dispositifs d'accompagnement et de formation des enseignants..
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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 | 0.008 | 0.028 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 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 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".