Une préhampe magdalénienne en bois de renne aux Petits Guinards (Allier, France)
Bibliographic record
Abstract
Le gisement archéologique des Petits Guinards, à Creuzier-le-Vieux (Allier, France), a livré une série importante, à l'échelle du Massif central, d'objets travaillés en matières dures d'origine animale. Au sein des différentes catégories techniques et fonctionnelles représentées, un objet en bois de renne est interprété comme une préhampe de projectile. Cette pièce exceptionnelle fut fabriquée hors du gisement où elle a été abandonnée à l'état de fragments. Sa datation par SMA 14C confirme la présence de groupes humains au tout début du Dryas ancien dans ce secteur septentrional du Massif central. Pour citer cet article : F.-X. Chauvière et al., C. R. Palevol 5 (2006). A reindeer antler foreshaft from the Magdalenian site of the ‘Petits Guinards’ (Allier, France). The site of the ‘Petits Guinards’ in Creuzier-le-Vieux (Allier, France) yielded an important assemblage, at the scale of the Massif central, of bone industry. Among the different technical and functional categories represented, a fragment of reindeer antler is interpreted as the foreshaft of a projectile. This exceptional artefact was made out of the site where it had been left. The radiocarbon date of this foreshaft confirms the presence of human groups in the north of Massif central at the start of the Lower Dryas. To cite this article: F.-X. Chauvière et al., C. R. Palevol 5 (2006).
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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 | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".