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RETHINKING PRISON LABOR: SOCIAL DISCIPLINE AND THE STATE IN HISTORICAL PERSPECTIVE

2012· article· en· W1483905925 on OpenAlexaff
Genevieve LeBaron

Bibliographic record

VenueWorkingUSA · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicCriminal Justice and Corrections Analysis
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsCapitalismPrisonNeoliberalism (international relations)PoliticsSociologyState (computer science)Context (archaeology)Political economyCapitalist stateEmancipationSocial reproductionCapital (architecture)ReproductionCorporate governancePolitical scienceEconomicsSocial capitalCriminologySocial scienceLaw

Abstract

fetched live from OpenAlex

This article assesses prison labor regimes' role in anchoring and reinforcing market discipline during three eras of U.S. capitalism: the industrializing North, the post‐emancipation South, and neoliberalism. Synthesizing evidence from revisionist historian and political economy literatures, this article analyzes the ways in which, in addition to being a feature of particular social and economic orders, prison labor has also been deeply imbricated in the very production of those orders, particularly their racialized and class‐based social relations. It argues that although critical political economy has generally failed to incorporate prisons and prison labor into theorizations of contemporary capitalism, these have been and are increasingly vital to the functioning and reproduction of capital in the U.S. context. As such, prison labor regimes should be understood as part of a range of state strategies to aggressively impose the forms of labor and social discipline central to specific regimes of governance and accumulation.

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 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)0.001
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.065
Threshold uncertainty score0.972

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.032
GPT teacher head0.329
Teacher spread0.297 · 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 teacher head, 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

Citations25
Published2012
Admission routes1
Has abstractyes

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