Hoofprints in the sand: A study on domestic sheep (Ovis aries) from Iron Age southern Phoenicia using traditional biometric methods
Bibliographic record
Abstract
The majority of research to date on the translocation of livestock in the premodern (before 1500 CE) Mediterranean Basin has focused on expansive movements out from geographic origins of domestication or from colonizer-to-colonized territories. Fewer zooarchaeological studies have investigated the lateral trajectories of distinct varieties of domesticated animals around the post-Neolithic eastern Mediterranean, partially due to the difficulty in detecting intra-species variation osteologically. The research conducted in the present study sought to improve understanding of the human-mediated mobility of domestic sheep ( Ovis aries ) from Iron Age settlements in the southern Levant . Variability in body size and a greater variety of morphotypes were expected from coastal flocks in southern Phoenicia in comparison to inland herds, possibly due to the dynamic influence of maritime trade . Biometric data analysis of zooarchaeological materials using log size index and astragalar dimension index methods revealed evidence for the possible optimization of coastal sheep for wool production and a potential introduction event in the Persian period. The Aegean region could be a source for this introduction; however, further research is needed to specify the geographic origin of this phenomenon.
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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 | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".