Bibliographic record
Abstract
On a reproché au modèle perceptuel de la connaissance morale d'être inadéquat en ce qu'il serait incapable d'expliquer le signe distinctif et fondamental de l'éthique, à savoir son caractère normatif. Je tente de montrer que la critique n'est pas pertinente, car le normatif n'a en réalité qu'une place dérivée en morale : l'éthique est d'abord une question de valeurs, entités dont il est tout à fait plausible de dire que nous les percevons. Pour justifier la place dérivée du normatif, je m'appuie sur les études de Max Scheler et sur l'examen de certains traits de la psychologie morale, qui tendent à montrer que le normatif n'est qu'un cas particulier de l'axiologique, mettant en évidence les caractères de force des valeurs, de risques de transgression et de contrainte.
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 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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.003 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.004 |
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; both teacher heads agree on what is shown here.
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".