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ראס אבו-דהוד (צפון)2

2010· article· W4417108667 on OpenAlexaboutno aff
Aviva Bouchenino, Peter Gendelman, Gabriella Bijovsky, Natalya Katsnelson

Bibliographic record

VenueḤadašŵt ʾarkeyŵlŵgiyŵt. · 2010
Typearticle
Language
FieldArts and Humanities
TopicArchaeology and Historical Studies
Canadian institutionsnot available
Fundersnot available
KeywordsTel avivKindnessShalomQuarter (Canadian coin)Memphis

Abstract

fetched live from OpenAlex

During May 2008, a salvage excavation was conducted in the Nahalat Yehuda quarter of Rishon Le-Ziyyon (Permit No. A-5433; map ref. 181947-72/655055-71), after ancient remains were discovered during an antiquities inspection prior to construction. The excavation, undertaken on behalf of the Israel Antiquities Authority and underwritten by the Aviv Family, was directed by A Bouchenino, with the assistance of A. Hajian (surveying and drafting), T. Sagiv (field photography), L. Yihye (preliminary inspections), B. Antin (final plans), C. Amit (studio photography), Y. Kupershmidt (metallurgical laboratory), Y. Bukengolts (pottery restoration), M. Shuiskaya (pottery drawing), N. Katsnelson (glass), O. Shorr (glass restoration), C. Hersch (drawing of glass vessels), G. Bijovsky (numismatics) and P. Gendelman (seal impressions). Special thanks are due to the Aviv and Shalom families for their kindness and hospitality.

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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.219
Threshold uncertainty score0.731

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0020.000
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.2190.074

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 head0.020
GPT teacher head0.213
Teacher spread0.194 · 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
GenreOther

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".

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Citations0
Published2010
Admission routes1
Has abstractyes

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