Causes of toolkit variation among hunter-gatherers: a test of four competing hypotheses
Bibliographic record
Abstract
Variation in subsistence-related material culture is an important aspect of the archaeological and ethnographic records, but the factors that are responsible for it remain unclear. Here, we examine this issue by evaluating four factors that may affect the diversity and complexity of the food-getting tools employed by hunter-gatherer populations: 1) the nature of the food resources; 2) risk of resource failure; 3) residential mobility; and 4) population size. We apply step-wise multiple regression analysis to technological and ecological data for 20 hunter-gatherer populations from several regions of the world. The analyses support the hypothesis that risk of resource failure has a significant impact on toolkit diversity and complexity. The results do not support the hypothesis that the characteristics of the resources exploited for food influence toolkit structure, or that residential mobility affects toolkit diversity and complexity. They are also not in line with the hypothesis that population size has an impact on toolkit structure. While our analyses appear to strongly support the suggestion that resource failure risk is the primary influence on hunter-gatherer toolkit structure, we argue that it would be premature to discount the other factors at this stage, and outline the steps that we believe need to be taken next.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".