Forces et défis de l’intégration de l’apprentissage expérientiel dans les programmes postsecondaires en sciences sociales
Bibliographic record
Abstract
La présente étude examine l’impact de l’apprentissage par expérience sur la formation pratique et théorique des étudiants inscrits dans des programmes en ethnologie. L’analyse s’appuie sur un projet développé dans le cadre d’un cours de premier cycle en Folklore et ethnologie, à l’Université de Sudbury (Ontario), projet dont l’objectif principal était de mettre à l’essai ce type d’apprentissage. La description et l’analyse de l’expérience des étudiants, de leur relation avec les communautés et les milieux de pratique permettent de dégager une compréhension des forces et des limites pratiques et institutionnelles de l’application de la pédagogie expérientielle en ethnologie et anthropologie et, plus largement, en sciences sociales.
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 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 | 0.008 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.005 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 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; both teacher heads agree on what is shown here.
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".