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.
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.013 | 0.022 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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; 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".