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Record W3096954844 · doi:10.1080/03344355.2020.1820040

An Iron IIA Iron and Bronze Workshop in the Lower City of Tell es-Safi/Gath

2020· article· en· W3096954844 on OpenAlexfundno aff
Vanessa Workman, Aren M. Maeir, Amit Dagan, Johanna Regev, Elisabetta Boaretto, Adi Eliyahu‐Behar

Bibliographic record

VenueTel Aviv · 2020
Typearticle
Languageen
FieldArts and Humanities
TopicArchaeology and Historical Studies
Canadian institutionsnot available
FundersAzrieli FoundationIsrael Science Foundation
KeywordsBronzeArchaeologyIron AgeChronologyMetallurgyBronze AgeMetalworkingGeographyMaterials science

Abstract

fetched live from OpenAlex

An iron and bronze workshop in the lower city of Tell es-Safi/Gath, dated to the mid-late Iron IIA, contributes new data on the chronology, organization, and practice of metal production in the urban Philistine setting. Analyses show that iron objects were likely produced and maintained on a large scale, alongside bronze, employing regionally unique forms of crucibles and tuyères. The material culture of metalworking is discussed in relation to contemporaneous iron production sites in the region, building a more robust picture of the adoption of iron metallurgy in the Levant versus the status of bronze and iron.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.050
Threshold uncertainty score0.100

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 studies0.0050.002
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

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 head0.051
GPT teacher head0.242
Teacher spread0.192 · 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 designObservational
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

Citations21
Published2020
Admission routes1
Has abstractyes

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