Les conseillers pédagogiques dans l’enseignement supérieur québécois : profils et activités
Bibliographic record
Abstract
Cette étude s’inscrit dans une recherche plus large visant à comprendre les responsabilités, les rôles et les défis des conseillers pédagogiques (CP) travaillant dans l’enseignement supérieur francophone québécois. L’article décrit le contexte professionnel des CP et les activités qu’ils effectuent dans ce cadre. L’analyse de 195 questionnaires établit une liste exhaustive des activités pratiquées, révélant des similarités entre les secteurs collégial et universitaire. Par leur polyvalence, les CP doivent composer avec une fragmentation importante de leur temps de travail. Les résultats suggèrent d’alléger la charge des CP pour mieux soutenir les transformations institutionnelles, sur les plans organisationnel, pédagogique et numérique.
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How this classification was reachedexpand
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 | 0.005 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".