La criminalité environnementale transnationale : aux grands maux, les grands remèdes ?
Bibliographic record
Abstract
Cette étude propose la façon dont la communauté internationale devrait traiter la criminalité environnementale transnationale. Pour y arriver, l’auteur définit d’abord ce phénomène et discute de son ampleur. La démarche consiste à faire comprendre cette forme de criminalité afin d’amener les parties intéressées à envisager les moyens appropriés pour la combattre. Ensuite, l’article rappelle l’inexistence des moyens de lutte à la hauteur de la gravité de ce fléau et soutient par la suite que l’ampleur et les caractéristiques de celui-ci méritent que la communauté internationale se mobilise dans son ensemble. Plus précisément, l’auteur soutient qu’en dehors du renforcement des mécanismes de lutte sur le plan national, de l’amélioration de la coopération judiciaire et de la reconnaissance mutuelle des décisions de justice, la création d’un tribunal international pénal pour l’environnement serait une option idéale.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.019 | 0.002 |
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; both teacher heads agree on what is shown here.
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".