La proportionnelle a-t-elle des effets vertueux ? Une étude expérimentale
Bibliographic record
Abstract
Des élections expérimentales faites à Montréal, Paris et Bruxelles permettent de comparer l’influence directe du mode de scrutin sur la décision des électeurs de voter ou non, et de voter pour leur parti préféré ou non. En tout, 16 groupes de 21 électeurs votent sous différents systèmes électoraux, soit le système uninominal à un tour et la représentation proportionnelle. Les préférences sont attribuées aléatoirement et connues de tous les participants. Nos résultats indiquent que le vote n’est pas globalement plus sincère et que la participation électorale n’est pas plus élevée lorsque le nombre de sièges pouvant être remportés augmente. Toutefois, nous observons moins de désertion d’un petit parti sous le système proportionnel.
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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 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.025 | 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".