Évaluer le degré de mobilité des rennes paléolithiques à partir de l’étude ostéométrique de métacarpiens
Bibliographic record
Abstract
Le Renne (Rangifer tarandus) a joué un rôle important pour les populations humaines en Europe occidentale et centrale durant une grande partie de la période paléolithique. Dans le Sud-Ouest de la France (notamment au Magdalénien), le Renne figure fréquemment parmi les proies privilégiées des groupes de chasseurs-cueilleurs. Malgré les nombreuses tentatives de reconstitution du comportement migratoire des rennes paléolithiques, il n’existe pas de consensus quant à son degré de mobilité. Les données éthologiques modernes indiquent que les troupeaux de rennes adoptent différentes stratégies de mobilité en fonction du type d’habitat et de la topographie. Le projet Emorph vise à rechercher des critères morphométriques, en combinaison avec des techniques d´apprentissage automatique, permettant d’identifier l’étendue des migrations du Renne. Fondés sur l’étude de populations de caribous modernes aux comportements migratoires distincts, les résultats obtenus seront ensuite appliqués sur divers assemblages magdaléniens du Sud-Ouest de la France pour reconstruire la mobilité de ces rennes tardiglaciaires.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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".