Nouvelles convergences entre éthique environnementale et éthique animale : vers une éthique climatique non anthropocentriste
Bibliographic record
Abstract
Cet article s’intéresse aux nouvelles convergences entre éthique animale et éthique environnementale du point de vue des effets, puis de celui des causes du changement climatique. Son objectif principal est de montrer comment une éthique climatique non anthropocentriste peut contribuer au rapprochement entre éthique animale et éthique environnementale. Il développe une approche qui peut faire converger au niveau théorique éthique animale, éthique environnementale et éthique climatique à partir du problème commun de l’élevage. Il explique, ensuite, comment, d’un point de vue pratique, les choix alimentaires végétariens et végétaliens ainsi que le mode de vie végane peuvent représenter une solution à ce problème commun. Il répond, enfin, à certaines objections en vue de développer les arguments en faveur d’un devoir de cesser de consommer les produits issus de l’élevage.
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 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 | 0.006 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.013 |
| Scholarly communication | 0.006 | 0.007 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| 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".