L’analyse de construits au service de la co-construction de sens chez les étudiants mentors
Bibliographic record
Abstract
Cet article présente un référentiel de formation d’étudiants mentors ayant pris forme lors d’une recherche effectuée dans le cadre d’un programme universitaire de mentorat étudiant, mis sur pied à l’Université d’Ottawa. Pour élaborer ce référentiel, nous avons pris en compte les représentations de la première génération d’étudiants mentors ayant accompagné des étudiants durant une année académique. Les résultats démontrent l’importance de créer un espace réflexif où les mentors accompagnés de personnes-ressources analysent, comparent et révisent les modalités d’accompagnement qu’ils privilégient. Cette formation semble devoir s’inscrire dans la perspective socioconstructiviste de l’apprentissage avec, en toile de fond, une modélisation de l’accompagnement, effectuée par une pratique réflexive et un accompagnement métacognitif.
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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 | 0.007 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.010 | 0.013 |
| Scholarly communication | 0.009 | 0.005 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.009 | 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".