Comparaison entre la herranza, la « fête de l’eau » et la zafa-casa dans les Andes
Bibliographic record
Abstract
Le but de cet article est de comparer le rituel andin qui entoure le marquage du bétail (herranza) avec d’autres rites essentiels du cycle annuel de la région. L’auteur compare tout d’abord laherranzaavec les rituels liés au nettoyage des canaux d’irrigation, puis il la confronte avec les cérémonies relatives au recouvrement des chaumières. La première comparaison est géographiquement limitée à une seule région – celle de la sierra de Lima –, tandis que la seconde considère les ethnographies d’autres régions de langue quechua afin de pallier le manque de données existantes sur le sujet. Lorsqu’elle est intégrée de cette façon au cycle rituel annuel, laherranzase révèle être une forme de rite de passage dont les multiples dimensions symboliques sont ici explorées.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 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".