Bibliographic record
Abstract
Cette thèse explore la dynamique entre les parlements et la recherche scientifique en France, Suisse et Canada. Après l'analyse de l'impact des structures parlementaires et politiques sur la recherche scientifique, elle s'intéresse à la façon dont les parlements interagissent avec les institutions scientifiques et influencent les politiques scientifiques. L'étude compare les approches des différentes États examinant les variations dans les relations parlementaires avec la science. Elle met en lumière l'importance des cadres institutionnels et politiques dans la facilitation ou l'entrave de ces interactions, en se concentrant sur les liens formels et informels entre les parlements et les institutions scientifiques. Ce travail cherche à comprendre si le Parlement est l'interlocuteur privilégié de la science et comment il pourrait optimiser sa participation dans le domaine scientifique, et cela par le prisme des sciences studies
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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 | 0.022 | 0.052 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.012 |
| Science and technology studies | 0.007 | 0.013 |
| Scholarly communication | 0.024 | 0.010 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.005 | 0.008 |
| Insufficient payload (model declined to judge) | 0.078 | 0.022 |
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".