Supervision de stage à distance en enseignement : mobiliser la présence cognitive à l’aide du numérique
Bibliographic record
Abstract
Dans les programmes de formation à l’enseignement, la supervision de stage peut se réaliser en ligne, tout en favorisant une présence à distance grâce aux dispositifs numériques, de nos jours incontournables. Or, comment les personnes superviseures universitaires (PSU) ajustent-elles leurs pratiques au service de la présence cognitive avec des cohortes de stagiaires en enseignement supervisé·e·s à l’aide du numérique? Quelques réponses émergent d’entretiens réalisés auprès de PSU du Québec. L’analyse thématique de leurs propos, notamment appuyée sur des indicateurs de présence cognitive, témoigne du fait que la médiatisation de la supervision peut favoriser la collaboration entre pairs, accentuer le rôle de médiateur des PSU (vers de plus hauts niveaux de cognition) et ouvrir des voies parallèles de soutien socioaffectif.
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.
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 | 0.003 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".