MétaCan
Menu
Back to cohort
Record W6925444149 · doi:10.17863/cam.113260

Chogha Maran: A local center of the Chalcolithic and Early Bronze Age in the Central Zagros

2021· article· en· W6925444149 on OpenAlexaboutno aff

Bibliographic record

VenueApollo (University of Cambridge) · 2021
Typearticle
Languageen
FieldArts and Humanities
TopicFashion and Cultural Textiles
Canadian institutionsnot available
Fundersnot available
KeywordsBronze AgeChalcolithicExcavationMesopotamiaPotteryHuman settlementSettlement (finance)Artifact (error)

Abstract

fetched live from OpenAlex

Between 1975-78, L.D. Levine and his team conducted the largest survey project in the Zagros Mountains – the Mahidasht Survey Project – focusing on four contiguous plains in Kermanshah Province that straddled the major route between Mesopotamia and the Iranian highlands. Four weeks of excavations at the site of Chogha Maran documented a sequence of settlements of the fifth and third millennia BCE. The results from these excavations form to this day the only stratified dataset for these periods in the western central Zagros. The Chalcolithic and Early Bronze Age pottery and administrative artifacts from Chogha Maran reveal distinctly local traditions that differ significantly from the contemporary settlement at Godin Tepe in the Kangavar Plain. This article presents the stratigraphy and artifacts from Chogha Maran based on archival research at the Royal Ontario Museum in Toronto and a reanalysis of a large corpus of clay sealings and tokens at the National Museum of Iran in Tehran. Our analysis of this material traces the emergence of small-scale, yet complex societies in the central Zagros, which were fully integrated in the highland-lowland interaction networks while maintaining distinctly local cultural traditions expressed most clearly in potting practices and glyptic imagery.

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.085
Threshold uncertainty score0.169

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.004
Science and technology studies0.0030.001
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0000.000
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 head0.016
GPT teacher head0.169
Teacher spread0.154 · 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

Citations2
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueApollo (University of Cambridge)Same topicFashion and Cultural TextilesFrench-language works237,207