Bibliographic record
Abstract
Des elements anciens de l'adaptation au froid dans le nord des Grandes Plaines. C'est depuis la fin du Pleistocene que des groupes humains habitent les Grandes Plaines de l'Amerique du Nord. Tout au long de cette longue periode d'occupation la region a connu des grandes variations saisonnieres de temperature. Le present article offre un survol des donnees ethnohistoriques et archeologiques attestant a des adaptations culturelles au climat froid et en particulier celles employees avant l'arrivee des agriculteurs euro-americains. Parmi les plus importantes on note (1) les vetements tailles de peau; (2) les tentes portatives; (3) les methodes de chasses individuelles et collectives; (4) la preservation de la nourriture en la congelant, l'entreposant, la sechant et l'utilisation d'animaux domestiques comme nourriture; (5) le transport en raquettes, toboggans et traineaux; (6) la distribution saisonniere des sites d'occupations; (7) des jeux d'hiver; et (8) la determination du temps par le nombre d'hivers s'etant ecoules et le systeme d'enregistrement de l'histoire par le decompte des hivers. Ce survol demontre que le registre ethnohistorique offre des images vives de ces elements adaptatifs a l'epoque historique ancienne. Les donnees archeologiques nous revelent l'antiquite de ces pratiques, des changements dans certains de celles-ci ainsi que des facons de resoudre certaines difficultes qui ressortent du registre ethnohistorique telle la distribution des sites d'occupation d'hiver.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".