Bibliographic record
Abstract
The 27th season of the 'Selz Foundation Hazor Excavations in Memory of Yigael Yadin' (License No. G-22/2016) took place during the months of June-July 2016. The 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 2016 expedition benefited from the financial assistance of the Selz Foundation (New York), the Edith and Reuben Hecht Fund (Israel), the Stevan B. Dana Archaeology Fund and individual donors. The excavations were directed by A. Ben-Tor and S. Bechar (Area M3 supervisor), who was assisted by B. Lhoyer (Area M3 assistant supervisor). Additional assistance was provided by N. Terchov (registration), I. Strand (surveying and drafting), M. Cimadevilla (field photography), I. Strand and O. Cohen (restoration), Y. Sfez (wet sieving and picking) and S. Yadid and S. Engelman (administration). The expedition numbered some 50 participants from Canada, South Africa, the U.S., Europe, Australia and Israel. The excavations are conducted in the Tel Hazor National Park with the full cooperation of the National Parks Authority. The expedition was housed at Kibbutz Gonen.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.018 | 0.007 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.019 | 0.006 |
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; both teacher heads agree on what is shown here.
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".