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Record W179909505

Crimes against Capital: Discovering Theft of Time

2001· article· en· W179909505 on OpenAlexaff
Laureen Snider

Bibliographic record

VenueSocial Justice A Journal of Crime Conflict & World Order · 2001
Typearticle
Languageen
FieldSocial Sciences
TopicCrime, Illicit Activities, and Governance
Canadian institutionsQueen's University
Fundersnot available
KeywordsStatuteLegislationLawSociologyCapital (architecture)Political scienceCriminologyHistory
DOInot available

Abstract

fetched live from OpenAlex

Introduction: The Significance of Crime Creation (1) In America's one-sided class war, employers have taken to monitoring employees workplace behavior right down to the single computer keystroke or bathroom break (Ehrenreich, 2000: 88). Time theft steals money as sure as someone picking your pocket.... It is America's biggest crime, and until its victims -- the owners and managers of American industry -- decide to do something about it, we'll continue to be stolen blind (Half, 1983: 80). THIS ARTICLE EXAMINES THE GENEALOGY OF CRIME CREATION THROUGH AN investigation of the discovery and management of a new type of Crime against capital. Theft of time, defined as the misuse of the employer's time and property by an employee, is rooted in 19th-century Taylorist discourses on time management and productivity. However, it has come into its own in the workplaces of the 21st century, spurred by a combination of ideological and technological developments. The purpose of this article is to document and explain this phenomenon. My interest in this subject comes out of earlier work (by myself and others) on the disappearance of corporate crime, crimes committed by business, as statute and fact. As readers of this journal are well aware, in countries all over the world, right-wing champions of neoliberalism have persuaded or coerced national governments to repeal legislation aimed at controlling or censuring the antisocial acts of capital (Snider, 1999; 2000). The most ardent evangelists of this point of view come out of the United States, not coincidentally the central nation with the lion's share of the world's power and wealth. This article will focus on the United States because it sets the tone for the rest of the world. By persuasion, coercion, or example, through its all-powerful media, its market force, government, military, or international associations such as the World Bank or the World Trade Organization, what happens in the United States is pivotal. As Braithwaite (1994) has explained, periphery apes center and, whether appropriate to its own history and culture or not, ideas and structures embraced by the United States are copied or modeled everywhere else. Throughout the 1980s and 1990s, as the gospel of neoliberalism gained strength, virtually every developed nation retreated from its historic obligations to assure the welfare of citizens through disciplining and sanctioning capital and began dismantling the welfare state. State law, it was argued, was expensive, unnecessary, inappropriate, and draconian. Corporations were depicted as complex organizations run by well-intentioned, well-educated management teams. Harmful acts in which they might -- accidentally -- engage were better handled by gentle persuasion or education, or by market mechanisms such as competition and licensing. Thus, pollution permits could replace laws against environmental crime, those who would fix or defraud markets would be automatically disciplined by free trade and globalization, and voluntary compliance or self-regulation would deliver better worker protection than state law, enforced as it necessarily was by bloated, bureaucratic government and fat-cat unions. (In this discour se, government was always represented as fat, soft, or inefficient, while business was the polar opposite - lean, mean, and forced to survive in the real world.) Such arguments fit well with downsizing, with deficit-cutting agendas in the nation-state, and with the newly discovered need to cut corporate taxes to allow business to compete in the global marketplace. Thus, laws against false advertising and hazardous products, laws stipulating minimum wage levels, maximum hours of work, or overtime pay, and laws setting quality standards and punishing business for poisoning air or water were systematically repealed, reformed, and/or obliterated through downsizing. Through deregulation, decriminalization, and downsizing, corporate crime vanished. …

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)0.001
Version: codex-gemma-dda1882f352aValidation 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: Empirical
Teacher disagreement score0.827
Threshold uncertainty score0.951

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.028
GPT teacher head0.323
Teacher spread0.295 · 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 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

Citations22
Published2001
Admission routes1
Has abstractyes

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