La question du vote. Expérimentations en laboratoire et In Situ
Bibliographic record
Abstract
Cet article est une revue de la littérature sur les expérimentations de vote qui étudient les comportements des votants et les propriétés des modes de scrutin. Tout d’abord, nous décrivons les expérimentations menées en laboratoire autour de trois aspects principaux : résultats agrégés selon le mode de scrutin, vote stratégique, paradoxe du vote. Nous abordons ensuite les expérimentations In Situ , typiques de l’étude expérimentale du vote, consistant à tester en marge d’élections officielles d’envergure des méthodes de vote alternatives. Nous étudions le protocole expérimental, deux enseignements généraux – l’accueil et les réactions des électeurs – ainsi que deux enseignements spécifiques – la comparaison des résultats agrégés et la description de l’offre politique telle que perçue par les électeurs.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".