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Criminality at Work

2020· book· en· W4250281876 on OpenAlexaboutno aff

Bibliographic record

Venuenot available
Typebook
Languageen
FieldBusiness, Management and Accounting
TopicRegulation and Compliance Studies
Canadian institutionsnot available
Fundersnot available
KeywordsCriminal lawPolitical scienceScholarshipSociologyLabour lawNormativeLawCriminology

Abstract

fetched live from OpenAlex

Abstract There has been a growing interest in the disciplinary ‘autonomy’ of labour law. The chapters in this book examine the interface between criminal law and theory and the regulation of labour markets, given the importance of this interface in the twenty-first century. The four chapters in the first section of the book are concerned broadly with the normative questions concerning the legitimacy of criminalisation in the regulation of social activity. It is a fundamental feature of liberal theories of criminalisation that the legitimate use of the criminal sanction requires special justification. The criminal law is coercive, punitive, and stigmatic. Each chapter examines the normative issue of criminalisation from a different perspective. The second section examines the distinctiveness of the criminal law as a form of regulation, especially compared with civil enforcement. The third section is concerned with criminal law, vulnerability, and precarious work relations. Recent scholarship in labour law has been intensively concerned with the concepts of vulnerability and precariousness in labour market relations. There is now a significant literature on these concepts from legal, economic, and social-scientific perspectives. The chapters in this section provide a novel theoretical perspective on those concepts by examining the distinctive role of the criminal law in respect of vulnerability and precarious work relations. The fourth section is concerned with contexts of criminalisation. The chapters in this section explore the different labour market contexts in which criminalisation has occurred. The fifth section is concerned with criminalisation and enforcement, and it examines the variety of ways in which the criminal law is being used as an enforcement tool, either as an auxiliary support to civil enforcement or as a substitute for civil enforcement. Finally, the last section provides two comparative chapters by leading scholars in the US and Canada. These chapters provide a comparative perspective on the role of penal policy in labour law.

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)0.002
metaresearch head score (Gemma)0.008
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: Empirical · Consensus signal: none
Teacher disagreement score0.046
Threshold uncertainty score0.154

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0090.011
Scholarly communication0.0060.003
Open science0.0010.007
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0460.008

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 head0.069
GPT teacher head0.230
Teacher spread0.161 · 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
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

Citations3
Published2020
Admission routes1
Has abstractyes

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