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סוסיתא, סקר דרום הגולן

2018· article· W4417109758 on OpenAlexaboutno aff
Sharya Fridman

Bibliographic record

VenueḤadašŵt ʾarkeyŵlŵgiyŵt. · 2018
Typearticle
Language
FieldArts and Humanities
TopicArchaeology and Historical Studies
Canadian institutionsnot available
Fundersnot available
KeywordsSettlement (finance)Period (music)Quarter (Canadian coin)Bar (unit)

Abstract

fetched live from OpenAlex

In 2005-2007 and 2014-2016, a survey was conducted in the southern Golan Heights (License Nos. G-72/2005, G-71/2006, G-74/2006, G-75/2006, G-82/2007, G-84/2007, G-88/2007, S-515/2014, G-89/2015, S-611/2015, G-61/2016, G-79/2016, G-80/2016, S-673/2016; map ref. 2590-802/7324-513), for the purpose of reconstructing the settlement history in this region at the end of the Second Temple period and in the Mishnaic and Talmudic periods. The survey, performed as part of a study of the territory of Sussita in the Roman period, on behalf of Bar Ilan University and financed by the Institute of Archaeology at Bar Ilan University, Koschitzky Fund, Krauthammer Cathedra and Moskowitz Cathedra, was directed by S. Fridman (pottery reading), with the assistance of D. Adan-Bayewitz and H. Ben-David (scientific guidance), D. Amit and B. Zissu (identification of stone vessels), Y. Dray (metal detection and cleaning of coins), D.T. Ariel (numismatics), M. Eisenberg and A. Karasik (pottery drawing) and N. Katsnelson (glass). Students from the Kinneret College and Bar-Ilan University, together with pupils from the religious high school in Haspin, participated in the survey.

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)0.001
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: Empirical · Consensus signal: none
Teacher disagreement score0.080
Threshold uncertainty score0.269

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0800.034

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 head0.036
GPT teacher head0.232
Teacher spread0.196 · 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".

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Citations0
Published2018
Admission routes1
Has abstractyes

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