Distinction morale entre animaux sauvages et non‐sauvages : une critique de l’approche contextuelle de Clare Palmer
Bibliographic record
Abstract
Dans deux articles récents, Clare Palmer défend la portée morale de la distinction entre animaux non humains domestiqués et animaux non humains sauvages suivant une approche « contextuelle ». Suivant cette approche, Palmer considère que les liens historiques qui unissent les animaux domestiqués aux êtres humains, à l'origine causale d'un état de dépendance et de vulnérabilité subi par les premiers, génèrent des obligations morales spéciales à leur égard (devoir de protection, notamment) non partagées par les animaux non-domestiqués (« sauvages »). Considérant tout d'abord les limites de la distinction sauvage/domestique et de l'approche contextuelle proposées par Palmer, cet article questionne la capacité de l'approche contextuelle de Palmer à pouvoir faire sens néanmoins d'une autre idée de sauvage, à savoir un sauvage « localisé » ou environnemental.
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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 | 0.007 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.011 | 0.053 |
| Scholarly communication | 0.011 | 0.015 |
| Open science | 0.003 | 0.007 |
| Research integrity | 0.007 | 0.015 |
| Insufficient payload (model declined to judge) | 0.006 | 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".