Bibliographic record
Abstract
During June-August 2005 the 16th season of excavations was conducted at Tel Hazor, in the Hazor National Park (License No. G-35/2005). The excavation, on behalf of the Hebrew University and under the auspices of the Israel Exploration Society, was directed by A. Ben-Tor. Participating in the excavation were D. Ben-Ami, assisted by S. Kisilevitz (supervision Area A4), D. Zigler, assisted by V. Euvrutis and A. Melamed (supervision Area A5), R. Bonfil (surveying), O. Cohen, assisted by I. Strand (conservation), M. Cimadevilla (photography), R. Elitzur (office management and finds registration) and S. Yadid (administration). Students and volunteers from numerous countries participated, including a group from the Associates for Biblical Research from the United States (led by A. Fuller and G. Franz), a group of students from the Southern Adventist University in Tennessee (led by M. Hazel), a group of students from Romania (led by T. Aldea), as well as volunteers from the United States, Canada, Europe (England, Belgium, Germany, France, Denmark and Sweden) and students of archaeology from the Hebrew University of 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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.316 | 0.203 |
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".