MétaCan
Menu
Back to cohort
Record W2796889940 · doi:10.1163/1569206x-12341531

The Rise of Capitalist Manufacture in the Ancien Régime

2017· article· en· W2796889940 on OpenAlexaff
Henry Heller

Bibliographic record

VenueHistorical Materialism · 2017
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHistorical Economic and Social Studies
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsBourgeoisieCapitalismNobilityAncien regimeState (computer science)Agency (philosophy)Economic rentCapital (architecture)Political economyMarket economyEconomicsPolitical scienceEconomyLawSociologyHistoryPolitics

Abstract

fetched live from OpenAlex

Abstract Viewing the development of French trade and manufacturing between 1650 and 1820, Jeff Horn underscores their great success based largely on overseas markets. His evidence supports the view of Friedrich Engels and Perry Anderson that capitalism developed within the pores of the Old Regime. Yet Horn attempts to deny the leading role of the bourgeoisie in this advance. He claims that it was through the Old Regime system of economic privileges rather than the agency of bourgeois capital accumulation that such progress was made. This article rejects Horn’s exclusive preoccupation with the positive economic role of the privileges granted by the state. It reasserts the importance of the agency of the bourgeoisie in furthering economic development. Moreover, it contends that for all the economic gains made by the system of state privileges, such privileges were more than offset by the weight of rents on the peasantry and to the benefit of the nobility and Church imposed by this same regime of privileges. The distorted development that privileges imposed on economic and social life became an important factor behind the outbreak of the Revolution.

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)0.002
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: none
Teacher disagreement score0.098
Threshold uncertainty score0.195

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.007
Scholarly communication0.0040.001
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.035
GPT teacher head0.221
Teacher spread0.186 · 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

Citations0
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueHistorical MaterialismSame topicHistorical Economic and Social StudiesFrench-language works237,207