Bibliographic record
Abstract
HRONIQUE • Numérique en éducationAvec l'avènement de l'intelligence artificielle, le plagiat a pris une forme nouvelle.Des systèmes automatisés peuvent désormais générer du contenu à la place de véritables auteurs, mettant en question la notion même de plagiat.Alors que certains peuvent voir cela comme une opportunité de faciliter la création de contenu, d'autres s'inquiètent des conséquences pour les travailleurs de l' écriture et la qualité de l'information disponible sur Internet.Dans ce contexte, il est important de réfléchir aux enjeux éthiques liés à l'utilisation de l'IA et de prendre des mesures pour protéger les droits des auteurs et garantir une utilisation responsable de l'IA.
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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 | 0.012 | 0.083 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.003 |
| Science and technology studies | 0.004 | 0.018 |
| Scholarly communication | 0.016 | 0.011 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.005 | 0.007 |
| Insufficient payload (model declined to judge) | 0.011 | 0.003 |
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".