Bibliographic record
Abstract
From February to December 2008 and January to October 2009, excavations were conducted in the northwestern quarter of the City of David parking lot (Giv'ati Parking Lot; Permit Nos. A-5337, A-5569). The excavation, undertaken on behalf of the Israel Antiquities Authority and underwritten by the El'ad Association, was directed by D. Ben-Ami and Y. Tchehanovets, with the assistance of N. Ben-Ephraim, A. Zilberstein, D. Gottreich, A. Shatil, M. Krakovsky, S. Bachar, D. Tan'ami and F. Corbin (area supervision), V. Essman, M. Kunin and M. Kipnis (surveying and drafting), T. Sagiv and A. Peretz (field photography), Skyview Company (aerial photography), N. Zak (drafting), C. Amit (studio photography), D.T. Ariel and G. Bijovsky (numismatics) and the personnel of the Artifacts Treatment Department (IAA). Students from the Institute of Archaeology of the Hebrew University of Jerusalem and other academic institutions, as well as volunteers from abroad, took part in the renewed excavations.
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 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.064 | 0.028 |
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".