Qui est le grand méchant loup ? Transformations nocturnes effrayantes et identification de l’inceste en Amazonie
Bibliographic record
Abstract
Dans le Bas Amazone riverain, au Brésil, certaines personnes âgées ayant commis des actes d’inceste subissent l’opprobre de leurs pairs en étant désignés comme coupables de transformations nocturnes incontrôlées, en animaux ou hybrides. Dans des anecdotes de seconde main rapportées oralement, ces figures de la transformation – les engerados – sont décrites comme provoquant l’effroi de ceux qui les rencontrent au détour du chemin. Pourtant, aucune interaction spécifique ne semble en jeu dans ces affaires. Au petit matin, les langues se délient afin de spéculer et découvrir l’identité du villageois supposé se transformer. Dans une société rurale traversée par les pratiques considérées incestueuses, ces discours se politisent et sont utilisés à des fins diffamatoires.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.006 | 0.008 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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".