La sauce épaisse. Remarques sur les relations sociales songhaïs
Bibliographic record
Abstract
La sauce épaisse Remarques sur les relations sociales songhaïs Dans cet article, nous examinons la relation entre le goût et les relations sociales chez les Songhaïs du Niger, et nous suggérons que la qualité des sauces indique le degré de proximité sociale. Au Songhaï, il faut servir des sauces épaisses et épicées aux invités qui sont socialement éloignés ; les proches ne doivent s'attendre qu'à des sauces légères et insipides. Cependant, les cuisinières brouillent souvent ces normes (en servant des sauces claires aux invités et des sauces épaisses aux proches) dans le but d'exprimer des thèmes à pertinence sociale. Dans cet article nous suggérons également aux anthropologues de pimenter leurs descriptions, de les amener à la consistance et à l'épaisseur voulues.
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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 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 0.015 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 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".