Oasis or Mirage? Assessing the Role of Abrupt Climate Change in the Prehistory of the Southern Levant
Bibliographic record
Abstract
Few prehistoric developments have received as much attention as the origins of agriculture and its associated societal implications in the Near East. A great deal of this research has focused on correlating the timing of various cultural transformations leading up to farming and village life with dramatic climatic events. Using rigorously selected radiocarbon dates from archaeological sites and palaeoenvironmental datasets, we test the predominate models for culture change from the early Epipalaeolithic to the Pottery Neolithic (c. 23,000–8000 cal. bp) to explore how well they actually fit with well-documented and dated palaeoclimatic events, such as the Bølling-Allerød, Younger Dryas, Preboreal and 8.2 ka event. Our results demonstrate that these correlations are not always as clear or as consistent as some authors suggest. Rather, any relationships between climate change and culture change are more complicated than existing models allow. The lack of fit between these sources of data highlight our need for further and more precise chronological data from archaeological sites, additional localized palaeoclimatic data sets, and more nuanced models for integrating palaeoenvironmental data and prehistoric people's behaviours.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.003 | 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".