Bibliographic record
Abstract
RÉSUMÉ Les physicalistes non réductivistes sont de plus en plus souvent considérés comme des épiphénoménalistes involontaires, puisque leur refus de réduire les traits mentaux à des propriétés physiques implique, dit-on, que s'il y a bien des causes mentales, aucune d'elles, néanmoins, ne produit ses effets en vertu du type d'état mental qu'elle représente. Face à cette critique, j'examine, et rejette, la réponse qui fait appel à l'idée de «trope». Je tiens, cependant, pour instructif cet échec du modèle de la pertinence causale basé sur les tropes, dans la mesure où il illustre une confusion qui est au cœur même du concept de pertinence causale, un concept qui est central dans la critique du physicalisme non réductiviste. En identifiant cette confusion, j'espère dissiper l'idée que le physicalisme non réductiviste véhiculerait quelque engagement envers l'épiphénoménalisme.
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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 | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.022 |
| Scholarly communication | 0.004 | 0.010 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.025 | 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".