Bibliographic record
Abstract
During July-August 2006 the seventeenth season of excavation at Tel Hazor was scheduled to take place. Due to the war breaking out in the north the excavation was curtailed after two weeks (License No. G-16/2006). In September, fieldwork was completed in Area A-5 and several conservation measures were implemented before the beginning of the rainy season. The 'Selz Foundation Excavations at Hazor in Memory of Yigael Yadin', on behalf of the Hebrew University and under the auspices of the Israel Exploration Society, were conducted by an expedition headed by A. Ben-Tor that included D. Ben-Ami (supervision Area A-4), S. Kisilevitz (supervision Area A-2), D. Zigler and V. Avrutis (supervision Area A-5), S. Zuckerman, A. Davidovich and B. Drake (supervision Area M), J. Rosenberg (surveying), O. Cohen and I. Strand (conservation), M. Cimadevilla (photography), A. Madvig-Struer (office and find registration) and S. Yadid and I. Strand (administration). Students and volunteers from several countries participated in the excavation, among them a group from the Associates for Biblical Research from the United States (led by G. Franz), a group of students from Romania (led by T. Aldea), as well as volunteers from the United States, Canada and Europe and archaeology students from the Hebrew University in Jerusalem.
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 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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.363 | 0.150 |
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".