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Record W1980025642 · doi:10.1017/s0020859003001123

Social Engineering and the Contradictions of Modernization in Khuzestan's Company Towns: A Look at Abadan and Masjed-Soleyman

2003· article· en· W1980025642 on OpenAlexaboutno aff
Kaveh Ehsani

Bibliographic record

VenueInternational Review of Social History · 2003
Typearticle
Languageen
FieldSocial Sciences
TopicIslamic Studies and History
Canadian institutionsnot available
Fundersnot available
KeywordsModernization theoryAuthoritarianismModernityPopulationEconomyQuarter (Canadian coin)Political scienceEconomic historySociologyHistoryLawEconomicsDemographyArchaeologyPoliticsDemocracy

Abstract

fetched live from OpenAlex

After the discovery of oil in Masjed-Soleyman by employees of the D'Arcy Concession in 1908, the Anglo Persian Oil Company (APOC) was incorporated in London. The oil cities of Abadan, Masjed-Soleyman, and at least seven other sister towns designed and constructed by the APOC in the first quarter of the twentieth century in Khuzestan, were the first modern and industrial towns in Iran and the Middle East. This essay studies Abadan and Masjed-Soleyman – company towns with, on the one hand, a modern and authoritarian structure and organization, and on the other hand, thanks to the heterogeneity and energy of their population, as well as the forbidding scale the cities had reached despite the company's wishes, a conditional modernity. The result of these contradictions were cities and urban cultures that were energetic and dynamic, but also eclectic and hybrid.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.015
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0090.034
Scholarly communication0.0050.003
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.000

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 head0.017
GPT teacher head0.267
Teacher spread0.250 · 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 designQualitative
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

Citations57
Published2003
Admission routes1
Has abstractyes

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