Daniel Clément, Le bestiaire Innu. Les quadrupèdes, Québec, Les Presses de lâUniversité Laval, 2012, 530 pages
Bibliographic record
Abstract
Les Innus, anciennement connus sous le nom de Montagnais, sont des chasseurs, trappeurs, pêcheurs et cueilleurs qui habitent la forêt boréale du nord-est du Canada. Par tradition, les animaux ont toujours occupé dans leur culture une place prépondérante. Les connaissances qu'en ont les autochtones sont donc vastes et variées. Ce volume consacré au Bestiaire Innu fait état du savoir innu concernant les 20 mammifères les plus connus, de l'ours noir et du caribou jusqu'aux diverses espèces de souris, en passant par le castor, le loup, le lièvre, le chien et bien d'autres. Des dizaines d'hommes et de femmes ont été interviewés sur les animaux depuis plus de vingt-cinq ans. A ces sources orales s'ajoutent des données provenant d'ethnologues, d'historiens, de missionnaires, de naturalistes, de biologistes et même d'aventuriers ayant parcouru à travers le temps le Nord québécois.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.042 | 0.014 |
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".