Perspectives étudiantes et professorales croisées sur un séminaire doctoral à vocation pratique en science politique : entre démocratisation de l’accès aux codes de la discipline et travail émotionnel
Bibliographic record
Abstract
Cet article réfléchit à la pertinence d’un séminaire doctoral en science politique sur les conditions de production du savoir en milieu universitaire et la préparation d’activités pratiques de recherche. Il s’appuie sur des échanges entre les professeures qui ont enseigné le séminaire et une étudiante du doctorat qui y a pris part, ainsi que sur les résultats d’un questionnaire auprès des étudiant·es qui ont suivi le séminaire entre 2016 et 2021. Ce séminaire a permis une démocratisation de l’accès aux codes de la discipline, une compréhension plus fine des rapports de pouvoir en milieu universitaire et un soutien émotionnel et intellectuel au début du parcours doctoral.
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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 | 0.026 | 0.042 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.016 | 0.014 |
| Scholarly communication | 0.011 | 0.009 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.004 | 0.011 |
| Insufficient payload (model declined to judge) | 0.011 | 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".