État de la diversité méthodologique des recherches en pédagogie universitaire francophone
Bibliographic record
Abstract
Cet article présente une analyse descriptive et critique de l’état de la recherche dans le domaine de la pédagogie universitaire envisagée du point de vue méthodologique, en francophonie entre 2010 et 2020. Il examine plus spécifiquement la manière dont les recherches de ces dix dernières années intègrent ou pas l’expérimentation en pédagogie universitaire dans le contexte de leur mise en œuvre : une expérimentation pédagogique est-elle mentionnée ou constituée comme objet de recherche à part entière ? De quoi traitent majoritairement les recherches en pédagogie universitaire et avec quelles méthodologies de recherche sont-elles réalisées ? L’analyse thématique d’une centaine d’articles scientifiques montre que les visées de ces recherches sont essentiellement descriptives et très rarement explicatives ou causales.
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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 | 0.141 | 0.189 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.011 | 0.014 |
| Science and technology studies | 0.005 | 0.009 |
| Scholarly communication | 0.016 | 0.007 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 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".