Beyond foraging and collecting: evolutionary change in hunter-gatherer settlement systems
Bibliographic record
Abstract
Foreword L.R. Binford, A. Johnson. 1. Introduction: Beyond Foraging and Collecting: Evolutionary Change in Hunter-Catherer Settlement Systems Junko Habu, B. Fitzhugh. Section I: Regional scale processes of settlement pattern change. Section introduction. 2. Going by boat: the forager-collector continuum at sea K.M. Ames. 3. Jomon collectors and foragers: long-term changes in settlement systems among prehistoric hunter-gathers in Japan Junko Habu. 4. Logistical organization, social complexity, and the collapse of prehistoric Thule whaling societies in the central Canadian arctic archipelago J.M. Savelle. 5. Natufian - A complex society of foragers O. Bar-Yosef. Section II. Microevolutionary approaches to long term hunter-gatherer settlement change. Section introduction. 6. Mobility, search modes, and food-getting technology: from Magdalenian to Early Mesolithic in the Upper Danube Basin L.E. Fisher. 7. Long-term land tenure systems in Central Brazil: evolutionary ecology, risk-management, and social geography R. Kipnis. 8. Central Place Foraging and prehistoric pinyon utilizatin in the Great Basin D.W. Zeanah. 9. Residential and logistical strategies in the evolution of complex hunter-gatherers on the Kodiak Archipelago B. Fitzhugh. Section III: Beyond ecological approaches to hunter-gatherer settlement change. Section introduction. 10. Sacred power and seasonal settlement on the central northwest coast A. Cannon. 11. Long-term change and short-term shifting in the economy of Philippine forager-traders L.L. Junker. 12. Explaining changes in settlement dynamics across transformations of modes of production: from hunting to herding in the south-central Andes M. Aldenderfer. Afterword: Beyond foraging and collecting: retrospect and prospect T.D. Price. Index
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.015 | 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".