Raw Material Availability and Technological Choice: Modified Metapodia from an Early Bronze Age Site in Central Israel
Bibliographic record
Abstract
ABSTRACT This paper explores the incongruous relationship between bone raw material availability and technological choice at the Early Bronze Age site of Horvat 'Illin Tahtit (HIT) in central Israel. At HIT, the worked bone assemblage is mostly comprised of minimally modified sheep and goat metapodia whose function(s) are enigmatic. Most specimens have longitudinally oriented scraping abrasions on at least one face, and of these, some have bilaterally symmetrical drilled perforations on the distal–posterior face. Furthermore, the distal epiphyseal plates of almost all worked metapodia are unfused, whereas unfused epiphyses are nearly absent from the general faunal assemblage. Worked goat metacarpals are significantly more common than sheep metacarpals or metatarsals of either species, despite the greater abundance of sheep over goat in the general faunal assemblage. This paper proposes that the desire to express specific visible attributes of the bone raw material was the key motivation in choosing unfused goat metacarpals over similar, more abundant choices. The analysis considers material properties such as bone mineral density and natural morphology and concludes that material properties between various choices were equivocal. This result suggests that social meanings attributed to specific animals and specific skeletal elements structured bone raw material procurement decisions. Copyright © 2011 John Wiley & Sons, Ltd.
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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 | 0.002 |
| 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) | 0.003 | 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".