Magdalenian dog remains from Le Morin rock-shelter (Gironde, France). Socio-economic implications of a zootechnical innovation
Bibliographic record
Abstract
We present in this paper new remains and direct radiocarbon dates of small canids from Le Morin rock shelter (Gironde, France) which constitute a major discovery with respect to the question of wolf domestication during the European Palaeolithic.In this study a multi-proxy approach has been employed, including species identification and a consideration of the archaeological and chronological context. The canids’ remains have all been studied regarding their morphology, biometry and surface attributes. All dental and postcranial remains of canids were attributed to a species by using a thorough biometric database built from fossil and modern data from Europe. The morphometry of seven remains is outside the size range variability of wolves and therefore can be securely attributed to dog (Canis familiaris). Nineteen are attributed to wolf (Canis lupus) and six could not not be securely attributed to one sub-species or the other (Canis sp.). More than 50 % of these Canisremains bear anthropogenic marks that demonstrate the utilization of both wolves and dogs by late glacial human groups. Two of the dog remains from Le Morin rock shelter were directly dated and indicate that Magdalenian groups lived with dogs. A discussion is therefore developed in this article regarding the development of this domestication through time and space.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 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".