Caractéristiques relationnelles en contexte de stage doctoral au sein d’équipes de recherches participatives en sciences de l’éducation
Bibliographic record
Abstract
La formation doctorale en sciences de l’éducation du réseau de l’Université du Québec nécessite la tenue de stages de recherche. Ces stages permettent aux personnes étudiantes de joindre des équipes de recherche afin de se familiariser avec des objets et des méthodologies distincts de ceux de leur thèse. Dans le vaste spectre des recherches participatives, la place qu’occupent les acteurs et les actrices au sein des équipes de recherche apparait comme un facteur important à considérer. Cet article interroge les caractéristiques relationnelles de deux doctorantes durant un stage réalisé dans le cadre d’une recherche participative. Une analyse de contenu des artéfacts naturels issus du stage a été réalisée et mène à un groupement des caractéristiques relationnelles en contexte de stage, soit celles d’ordre collectif et celles d’ordre individuel.
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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 | 0.009 | 0.022 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.009 | 0.007 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.018 | 0.002 |
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".