La crise de la sanction face à la cybercriminalité : l'exemple du droit d'auteur
Bibliographic record
Abstract
La contrefaçon sur internet est un fléau mondial. Il s’agit d’une forme de cybercriminalité mettant en danger la rémunération des auteurs et plus largement toute l’économie du secteur culturel. Afin de lutter contre celle-ci, le législateur français n’a cessé d’augmenter les responsabilités pénales. Adoptant une approche opposée, le législateur canadien n’est intervenu que sporadiquement et sans s’attacher à modifier les recours criminels existants. Bien que diamétralement antagoniques, nous tenterons de démontrer que ces deux approches ont le même résultat : les sanctions pénales sont ineffectives. Le postulat étant posé, nous nous efforcerons de proposer des solutions permettant de remédier à cette ineffectivité.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.002 | 0.005 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".