Former des citoyens par la délibération publique : une entreprise fragile (États-Unis et France, 1870-1940)
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Résumé Nous nous intéressons ici au développement, dans des régimes démocratiques, d’entreprises d’apprentissage de la citoyenneté consistant à concevoir des espaces au sein desquels les individus viennent échanger collectivement sur des enjeux publics. Nous montrons que des idéaux assez semblables de la discussion publique ont pris forme en France, dans les réunions politiques contradictoires du dernier tiers du XIX e siècle, et aux États-Unis, notamment dans les public forums des années 1920 et 1930 : dans les deux cas, il est attendu des participants qu’ils s’inscrivent dans des normes et pratiques relevant d’une vision rationnelle de la citoyenneté. Cette comparaison révèle ainsi des similitudes importantes quant aux objectifs poursuivis, mais aussi quant aux réussites et échecs des dispositifs. Nous concluons l’analyse par une réflexion sur les leçons que l’on peut tirer de cette histoire croisée pour les projets contemporains en matière de démocratie délibérative.
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.
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Not applicable | low |
| gpt | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Qualitative | low |
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.007 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 it