Natufian Settlement and Mobility: A Lithic Perspective from Saaïdé II, Lebanon
Bibliographic record
Abstract
This study is concerned with settlement and mobility patterns from the perspective of the organization of the lithic technology. Radiating mobility patterns in the context of the Levantine Late Natufian are investigated by looking at the intensity of lithic reduction and the use of blanks for tool manufacture. By conjoining the results of the technological and morphological analysis of lithic tools with additional lines of evidence, such as site location, proximity to various resources, seasonal availability of resources, functional use of flint and non-flint artifacts, an integrated view has been reached on the intensity of human occupation at the Late Natufian site of Saaïdé II. With its large size, thick cultural deposits, varied tool kit and generalized subsistence, Saaïdé II was a residential camp for bands that subsisted on hunting and gathering. What enabled people to reside in this spot for more than one season was the overlap of seasonally available resources. The model of radiating mobility proposed for Saaïdé II illustrates that radiating mobility strategies were not abandoned with the onset of the climatic deterioration triggered by the Younger Dryas around 9,000 Be. Sites located in more marginal areas, beyond the boundaries of the Natufian "homeland", were able to sustain larger agglomerations of people and intensive human occupation.
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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 | 0.002 | 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".