Bibliographic record
Abstract
During July 1998, July 1999 and July 2000 the ninth, tenth and eleventh excavation seasons were conducted at Nahal Barqai (G-28/98, G-63/99, G-10/00; map ref. NIG 1838/6279; OIG 1338/1279; HA–ESI 110), on behalf of Bar Ilan University and sponsored by the Yo’av Regional Council, Bar Ilan University, Claremont University and McGill University. Qibbuz Kefar Menahem provided accommodations for the expedition. S. Givon directed the excavation, with the assistance of T. Schneider and W. Kriger (area supervision 1998), M. Goldman, D. Inbar and R. Byrne (area supervision 1999–2000), K. Maeyama and J. Du-Toit (registration), A. Feldstein (surveying and drafting), D. Inbar (sections drawing), E. Karon (pottery restoration), M. Rappaport (pottery and special finds drawing). Students from Claremont University in California, headed by T. Schneider, participated in the 1998 season; students from McGill University in Montreal, Canada, headed by B. Levy, participated in the 1999–2000 seasons.
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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 | 0.001 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.102 | 0.051 |
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".