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Record W2148129040 · doi:10.1017/s0003598x00062566

Opening the Mediterranean: Assyria, the Levant and the transformation of Early Iron Age trade

2012· article· en· W2148129040 on OpenAlexaff
Richard Nathan Fletcher

Bibliographic record

VenueAntiquity · 2012
Typearticle
Languageen
FieldArts and Humanities
TopicAncient Near East History
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPhoenicianMediterranean climateIron AgeAssyriaAncient historyHistoryBronze AgeGeographyArchaeology

Abstract

fetched live from OpenAlex

The evidence for structures of exchange in the Early Iron Age Mediterranean has been rationalised in many ways, variable in terms of both the evidence selected and the arguments applied. However, the most pervasive and tenacious explanation has been based upon a coreperiphery model, which approaches the expansion of Phoenician commerce in the Early Iron Age by conceptualising it as flowing from a largely eastern Mediterranean core to the western Mediterranean periphery. Thus the Early Iron Age expansion has been interpreted as a direct function of Neo-Assyrian imperialism (Frankenstein 1979), an idea that has circulated in the work of many scholars (Shaw 1989; Kuhrt 1995: 403’410; Coldstream 2003: 240’41, 359; Fantalkin 2006).

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)0.001
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.019

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.008
Scholarly communication0.0030.002
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.247
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".

Quick stats

Citations30
Published2012
Admission routes1
Has abstractyes

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