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Record W2961770978 · doi:10.1093/pastj/gtz017

A Microhistory of the Global Empire of Cotton: Ivanovo, The ‘Russian Manchester’*

2019· article· en· W2961770978 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePast & Present · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical Studies and Socio-cultural Analysis
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsSerfdomHistoryEconomic history

Abstract

fetched live from OpenAlex

Abstract The serf village of Ivanovo became one of the major centres of cotton production in tsarist Russia. This unexpected juxtaposition of serfdom and the beginnings of capitalist industry has made Ivanovo into an object of curiosity within histories of the Russian economy and of Russian serfdom. Thinking about Ivanovo as both a site of microhistory–the study of the ‘typical exception’–and as part of the global world of cotton both helps to explain Ivanovo’s development and helps to disrupt the notion of distinct phases of economic development that necessarily go along with distinct phases of political development. This article focuses on one period of Ivanovo’s history: a period beginning in the late 1820s, when Ivanovo’s owner, Count Sheremetev, began to manumit some of his wealthy serf industrialists. Many of them remained in the village and continued to produce the cotton calico that had already brought them their wealth and the village its fame. Although a feeling of a village society divided into separate classes had already begun to develop, this process gave new form to that development. In particular, the very institutional form of serfdom helped to create a stronger vision of a separate working class and industrial class.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.780
Threshold uncertainty score0.653

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.015
GPT teacher head0.208
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