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Record W1955866906

Danila Raskov. Ekonomicheskie instituty staroobriadchestva. Sankt-Peterburg: Izdatel’skii dom Sankt-Peterburgskogo gosudarstvennogo universiteta, 2012

2013· article· en· W1955866906 on OpenAlexaff
Heather J. Coleman

Bibliographic record

VenueLaboratorium: Russian Review of Social Research · 2013
Typearticle
Languageen
FieldSocial Sciences
TopicSoviet and Russian History
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsProtestant work ethicCapitalismParallelsProtestantismInstitutionalismSociologyEconomic historyInstitutional economicsEconomyPolitical scienceEconomicsNeoclassical economicsLawPolitics
DOInot available

Abstract

fetched live from OpenAlex

From the Riabushinskiis to the Morozovs, the central role of Old Believer merchant families in the development of Russian industry in the nineteenth century is well known. The Old Believer movement has been casually compared with that of the early Protestants, and scholars have been tempted to point out possible parallels with Max Weber’s famous description of the affinity between the Protestant ethic and the rise of capitalism in Western Europe. In this ambitious book, Danila Raskov attempts a systematic study of this question of the relationship between the religious and economic history of the Old Believers. Drawing on the methods of economic history, economic sociology, and the insights of the “new institutionalism” in economics, Raskov demonstrates that the informal institutions created within Old Believer communities worked to solve economic challenges.

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: Not applicable
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.013
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0010.002
Scholarly communication0.0030.003
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0130.006

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 head0.048
GPT teacher head0.383
Teacher spread0.335 · 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
GenreOther

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

Citations0
Published2013
Admission routes1
Has abstractyes

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