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Record W2084962927 · doi:10.1177/0896920512472914

Beyond Corporate Fundamentalism: A Marxian Class Analysis of Corporate Crime Law Reform

2013· article· en· W2084962927 on OpenAlexaffabout
Steven Bittle

Bibliographic record

VenueCritical Sociology · 2013
Typearticle
Languageen
FieldEnvironmental Science
TopicWildlife Conservation and Criminology Analyses
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsSurplus valueCorporationLawEconomicsClass conflictLegislationState (computer science)Corporate lawCorporate crimeLaw reformCriminal lawCapitalismGovernment (linguistics)SociologyLaw and economicsCorporate governancePolitical sciencePolitics

Abstract

fetched live from OpenAlex

This article uses Marxian class theory to examine the state’s role in disciplining the modern corporation. Over the past decade, the Canadian government has enacted laws extending corporate criminal liability to safety crimes and stock market fraud, and considered, but ultimately decided against, legislation that would have made Canadian mining, oil and gas companies operating in developing countries liable under Canadian law. Using empirical data from Canadian parliamentary hearings, the author argues that efforts to punish corporations through law represent an important struggle over who should have the power to control the conditions for appropriating and distributing surplus value. At the same time, however, these struggles fail to address the fundamental exploitation that Marx identified in his surplus labour theory of class. The author concludes that we need to transcend the state’s law reform efforts to transform the manner in which surplus values are generated, appropriated and distributed.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.481
Threshold uncertainty score0.999

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 studies0.0000.005
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0200.001

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 head0.075
GPT teacher head0.298
Teacher spread0.223 · 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; both teacher heads agree on what is shown here.

Study designObservational
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

Citations11
Published2013
Admission routes2
Has abstractyes

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