Bibliographic record
Abstract
During June -July 2007, the first season of the Lahav Research Project, Phase IV was conducted at Tel Halif (License No. G-19/2007; map ref. NIG 187/587-8; OIG 137/087-8). The excavation was directed by O. Borowski of Emory University (photography), with the participation of Emory University and Miami University of Ohio as consortium member institutions. Additional support was provided by the Michael C. Carlos Museum of Emory University, the Heritage Fund of ASOR, the Cobb Institute of Archaeology at Mississippi State University, the W.F. Albright Institute of Archaeological Research, the Joe Alon Center at Qibbuz Lahav and individual donors. The field staff included Professors D. Appler (Moravian Theological Seminary), J. Bidmead (Miami University), and J.W. Hardin (Cobb Institute), J. Bos (University of Michigan; area supervison trainee), M. Broida (Emory University; registration), aided by L. Abramson (Miami University), D. Kerges (Cobb Institute; drafting and supervision help in Area H7) and J. Rosenberg (AIAR; surveying). Eighteen undergraduate and graduate students from the US, Canada, Australia and New Zealand participated in the program. The expedition wishes to thank Qibbuz Lahav for its hospitality and other services and to A. Navon who served as liaison with the qibbuz.
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 | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.239 | 0.142 |
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".