Bibliographic record
Abstract
We build on the model of Chapter 3 to explain how sedentism could have developed in response to better climate conditions involving higher means and lower variances for temperature and rainfall. Sedentism is defined to mean a willingness of human populations to stay at the same site for multiple generations despite occasional periods of low productivity in relation to other sites. We identify three causal channels leading to sedentism. First, there is a short-run channel where climate improvement leads agents to remain at sites when weather there is temporarily bad, because when conditions are harsh, they are less harsh than they were under the previous climate regime. Second, there is a long-run channel where better climate leads to higher regional population. This causes some people to remain at sites where weather is temporarily bad because sites with good weather are now more heavily occupied than before. Finally, there is a very-long-run channel where higher regional population leads to the use of previously latent resources and technological innovation. These mechanisms help to explain the rise of large sedentary communities in southwest Asia during the Epi-Paleolithic and in Japan during the early Holocene.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 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".