Bibliographic record
Abstract
Les Athapascans de l’Alaska et du Nord-Ouest canadien utilisent les mêmes termes pour désigner d’une part les insectes et tout ce qui grouille et, d’autre part, les monstres aquatiques ou nocturnes, les géants mythiques, les esprits et les fantômes, ainsi que les gens-des-bois, êtres sauvages qui hantent la forêt subarctique. À première vue, il est difficile de trouver, entre ces diverses créatures, un lien qui justifierait une taxonomie aussi ambiguë, même en tenant compte des particularités des systèmes de classification athapascans. Une comparaison des créatures en question révèle des indices inattendus qui permettent une hypothèse : toutes ces créatures entretiennent un lien avec l’espace chamanique et mythique (ink’on), y compris les insectes qui feraient déjà directement partie de cet espace parce qu’ils étaient présents au début des temps mythiques, avant l’émergence de l’humanité. Des études linguistiques pourraient confirmer le lien sémantique entreink’onet insectes.
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 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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 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".