Bibliographic record
Abstract
During the months of June and July 2014, the 25th season of the 'Selz Foundation Hazor Excavations in Memory of Yigael Yadin' (License No. G-17/2014) took place. These excavations are sponsored by the Philip and Muriel Berman Center for Biblical Archaeology at the Hebrew University of Jerusalem and by the Israel Exploration Society. The 2014 expedition benefited from the financial assistance of the Selz Foundation (New York), the Edith and Reuben Hecht Fund (Israel) and individual donors. The 2014 excavation was directed by A. Ben-Tor and S. Zuckerman, who were assisted by S. Bechar (Area M4 north and south supervisor), N. Paz (Area M3 supervisor) and D. Weinblatt-Krause (Area A9 supervisor), as well as M. Bekker (registration), I. Strand (surveying and drafting), M. Cimadevilla (field photography), I. Strand and O. Cohen (restoration) and S. Yadid and Y. Nemanov (administration). The expedition numbered some 30 participants from Canada, South Africa, the U.S.A., Europe, New Zealand and Israel. The excavation, within the Tel Hazor National Park, was conducted with the full cooperation of the National Parks Authority. The expedition members lodged at Kibbutz Gonen.
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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 | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.211 | 0.072 |
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".