Bibliographic record
Abstract
Les Cris, ou Eeyou dans la langue vernaculaire, habitent un vaste territoire, l’Eeyou Istchee, qui s’étend d’est en ouest, des confins de la région saguenayenne à la baie James et jusqu’au sud de la baie d’Hudson. Leur population comprend plus de 18 000 membres inscrits répartis en dix communautés. Peuple chasseur par excellence, les Cris ont aussi vécu traditionnellement de piégeage, de pêche et de cueillette. L’essor économique qu’ils ont connu au xxe siècle et en ce début du xxie siècle est sans précédent dans l’histoire des Amérindiens du Québec. Ils se sont développés dans de nombreux domaines, dont la foresterie, la construction, les transports et le tourisme. Le présent recueil de récits cris se veut une contribution à la connaissance de ce peuple aux visages multiples, aux héros fiers et indépendants dont les exploits fabuleux restent inoubliables.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.061 | 0.023 |
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".