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Slavery, Capitalism, and Imperialism

2022· book-chapter· en· W4213170432 on OpenAlexaff
Sébastien Rioux

Bibliographic record

VenueOxford University Press eBooks · 2022
Typebook-chapter
Languageen
FieldEconomics, Econometrics and Finance
TopicHistorical Economic and Social Studies
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsCapitalismRationalization (economics)ConstitutionContext (archaeology)Capital (architecture)Division of labourPolitical economyPolitical scienceEconomySociologyEconomicsLawHistory

Abstract

fetched live from OpenAlex

Abstract This chapter problematizes the relationship between slavery, capitalism, and imperialism. First, it explores how slavery and the slave trade played a key historical role in capital accumulation and international value transfer from the early modern period to the Industrial Revolution. More specifically, it looks at the central importance of slavery in the expansion of capitalist trade and production as well as its role in the constitution of an international division of labour premised upon the uneven exploitation of distant spaces and populations. Second, the chapter explores the ways in which capitalist techniques shaped slavery and its institutions. In this respect, it investigates the rationalization of slave production in the context of an increasingly competitive international market in goods. Third, the chapter considers the fundamental importance of struggles and resistance against slavery in the context of capitalist imperialism. The chapter concludes with a discussion on modern-day slavery and its roots in militarized borders, wars of encroachment, and dependent economies of imperialism.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.007
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.006
Scholarly communication0.0030.002
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0070.001

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 head0.032
GPT teacher head0.172
Teacher spread0.140 · 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 designTheoretical or conceptual
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
Published2022
Admission routes1
Has abstractyes

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