Le lobbying en France : une approche par le concept de corégulation
Bibliographic record
Abstract
Contrairement aux pays anglo-saxons, ce n’est que très récemment (loi Sapin 2, 2016) que la France s’est dotée d’une définition officielle et d’un cadre réglementaire concernant les activités de lobbying des entreprises. En mobilisant le concept de corégulation, l’objectif de cet article est d’analyser comment s’articulent les systèmes de normes volontaires et contraignantes régulant le lobbying et d’identifier les différents acteurs publics et privés à leur origine. Les limites auxquelles se heurte cette nouvelle forme de régulation du lobbying seront soulignées, en les inscrivant dans une réflexion plus large sur les enjeux RSE du lobbying et les paradoxes du concept récent de lobbying responsable.
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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 | 0.001 | 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 | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".