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Jerusalem, the Old City, the Jewish Quarter

2025· article· W7162256677 on OpenAlexaboutno aff
Israel Antiquities Authority, Shlomit Weksler-Bdolah, Meidad Shor

Bibliographic record

VenueḤadašŵt ʾarkeyŵlŵgiyŵt. · 2025
Typearticle
Language
FieldArts and Humanities
TopicArchaeology and Historical Studies
Canadian institutionsnot available
Fundersnot available
KeywordsQuarter (Canadian coin)JudaismExcavationPotteryWork (physics)

Abstract

fetched live from OpenAlex

In December 2018, a salvage excavation was conducted at Ma‘alot Rabbi Yehuda Ha-Levi, in the eastern part of the Jewish Quarter of the Old City of Jerusalem (Permit No. A-8399; map ref. 222188–92/631423–6; Fig. 1), following the exposure of the top of an ancient wall during infrastructure work prior to installing a sewage pipe. The excavation, on behalf of the Israel Antiquities Authority and funded by the Corporation for the Renovation and Development of the Jewish Quarter in the Old City of Jerusalem Ltd., was conducted as part of the ‘Western Wall Elevator’ project that aimed to connect the Jewish Quarter with the Western Wall Plaza. The excavation was directed by S. Weksler-Bdolah and M. Shor (director and field photography), with the assistance of N. Nechama and S. Cohen (administration), V. Essman (surveying and drafting), I. Naor (organic material conservation), Y. Maor (analytical laboratory), I. Taxel (pottery), Y. Gorin-Rosen (glass), I. Lidsky-Reznikov (drawing of the pottery and the inlaid bone object) and D. Gazit (small finds photography).

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.025
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.001
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0160.003

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.

Opus teacher head0.023
GPT teacher head0.234
Teacher spread0.211 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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