Bibliographic record
Abstract
Nos sociétés contemporaines affrontent une multiplicité de risques – tant naturels que technologiques et industriels ou encore économiques et sociaux – face auxquels les décideurs politiques sont amenés à formuler des politiques publiques. Ces dernières, malgré la diversité de leur objet, présentent-elles des caractéristiques communes ? Autrement dit, existe-t-il une action publique spécifique à la gestion des risques ? Entre expertise scientifique d’une part et légitimité démocratique de la participation citoyenne d’autre part, ces politiques publiques sont-elles le terrain privilégié d’une coresponsabilisation pour gérer les incertitudes ? C’est à ces questions que cet article s’attache. Dans un premier temps, il expose une vue synthétique des définitions et des typologies du concept du risque. Ensuite, il analyse les particularités des politiques publiques du risque, en se basant sur le cycle de formulation et de mise en oeuvre des politiques. Enfin, il conclut par une lecture transversale des politiques, pour en montrer les points de convergence.
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 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 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.012 |
| Scholarly communication | 0.010 | 0.007 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.024 | 0.006 |
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".