The zooarchaeology of complexity and specialization during the Upper Palaeolithic in Western Europe
Bibliographic record
Abstract
Over the last twenty years attempts have been made to determine the nature of Upper Palaeolithic hunting specialization. This chapter traces assemblage structural ‘specialization’, where faunal assemblages are dominated by a single species, vs ‘diversity’, in which all recorded species are well represented, between 45,000 and 10,000 bp (Châtelperronian to Azilian), and demonstrates regularity in the archaeozoological record. It moves away from the assumption that assemblages with at least 90% of bones attributable to a single species result from specialized hunting strategies, and seeks explanations for patterns of diversification. The study also deals with the Late Glacial Maximum with its narrowing resource base and the Magdalenian of southwest France, when specialized reindeer hunting is traditionally considered of paramount importance. The chapter uses measures of diversity and evenness to quantify variation observed through time, highlighting a peak in single-species exploitation during the Middle Upper Palaeolithic. Finally, interpretations are offered for future consideration.
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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 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| 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".