Leader politique, prise de décision et maladie mentale : une étude exploratoire
Bibliographic record
Abstract
Le présent ouvrage s’intéresse à la façon dont la science politique\naborde le sujet qu’est le leader, la prise de décision et la maladie mentale. Pour\nce faire, la littérature de la discipline ainsi que celles de domaines connexes\nsont explorées. La recherche nous amène à constater que la science politique\nn’étudie pas véritablement le sujet et lorsqu’elle le fait, les analyses laissent à\ndésirer. Cependant, d’autres disciplines se sont penchées sur le thème de façon\nintéressante. Ceci nous conduit à appeler la science politique à étudier avec\nsérieux le sujet qu’est le leader, la prise de décision et la maladie mentale en\ns’inspirant du travail fait dans d’autres disciplines, tout particulièrement la\npsychologie.
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.014 | 0.014 |
| Scholarly communication | 0.013 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.029 | 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".