Appendix: Jerusalem, the Old City: Pottery Production in the Ayyubid and Mamluk Periods
Bibliographic record
Abstract
In May 2014, a salvage excavation was conducted at 60 'Aqabat es-Saraya Street in the Muslim Quarter of the Old City of Jerusalem (Permit No. A-7133; map ref. 222124-30/631701-07), following the discovery of ancient remains during the renovation of a private building. The excavation, undertaken on behalf of the Israel Antiquities Authority and financed by the property owner, was directed by S. Kisilevitz (field photography), with the assistance of E.D. Kagan (area supervision), N. Nehama (administration), V. Essman and Y. Shmidov (surveying and drafting), D. Tanami and O. Chalaf (metal detection), N. Sapir (antiquities inspection and professional consultation), B. Dolinka (pottery; see Appendix), C. Amit (studio photography), C. Hersch (finds drawing) and R. Cohen-Amin (registrar).
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.008 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.402 | 0.092 |
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".