Le Pongo, l’idiot et le cagot. Quelques remarques sur la définition de l’Autre
Bibliographic record
Abstract
La question ici traitée concerne finalement la définition de la limite de l'humain ; c'est-à-dire la question de l'Autre. C'est le même problème, qu'il s'agisse de l'homme sylvestre (le Pongo), de l'idiot ou du cagot. Ces questions qui restent ouvertes encore au XVIIe siècle vont peu à peu se retrouver dans l'univers des débuts de la psychiatrie. La question de l'enfant sauvage de l'Aveyron, celle de l'idiot du Valais, celle du cagot se trouvent comme problèmes chez Pinel ou Esquirol. Nous avons pensé qu'il s'agissait bien là de questions qui pouvaient s'intégrer à la problématique de la tolérance.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.041 |
| Scholarly communication | 0.005 | 0.009 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.007 | 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".