Le piégeage à l'aube du XXIe siècle : aspects socio-économiques, législatifs et pratiques
Bibliographic record
Abstract
La cohabitation entre l'homme et les especes sauvages pose quelques problemes qui ont conduit les legislateurs a qualifier des especes de nuisibles et a definir leurs modalites de destruction. Apres une presentation des especes en question et des degâts qu'elles occasionnent ce travail evoque la reglementation du piegeage dans les autres pays de l'Union Europeenne. Il detaille l'accord sur les normes internationales de piegeage sans cruaute signe par le Canada, la Federation de Russie et l'Union Europeenne et evoque les enjeux de cet accord. C'est enfin l'art du piegeage tel qu'il est pratique en France aujourd'hui qui sera decrit sans oublier ses nombreuses applications dans la gestion des especes sauvages.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.009 | 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".