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Record W5689474 · doi:10.1176/ps.19.5.156

Danbury Hatters in Sweden: An American Perspective of Employer Remedies for Illegal Collective Actions

2012· article· en· W5689474 on OpenAlexaboutno aff
César F. Rosado Marzán, Margot A. Nikitas

Bibliographic record

VenueHospital & community psychiatry · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicLabor Movements and Unions
Canadian institutionsnot available
Fundersnot available
KeywordsPunitive damagesPolitical scienceLabour lawCollective bargainingLawDamagesLegislatureSanctionsCommon lawLaw and economicsSociology

Abstract

fetched live from OpenAlex

The European Court of Justice Laval quartet held that worker collective actions that impacted freedom of services and establishment in the E.U. violated E.U. law. After Laval, The Swedish Labor Court imposed exemplary or punitive damages on labor unions for violating E.U. law. These cases have generated critical discussions regarding not only the proper balance between markets and workers’ freedom of association, but also what should be the proper remedies for employers who suffer illegal actions by labor unions under E.U. law. While any reforms to rebalance fundamental freedoms as a result of the Laval quartet will have to be very sensitive to member state and E.U. institutions and practices, an American perspective may prove useful to figure out the way forward. The United States has a rich experience of court-imposed injunctions and punitive damages which ultimately were deemed excessive by the public. It required very assertive legislative and executive action to curb such excessive judicial incursions into the workplace. To the extent the American experience is relevant to the EU, it will be very likely that the E.U. will require political leadership and EU-wide labor law and policy to rebalance markets and workers’ rights in the EU. 1 A prior version of this paper was presented on May 27, 2011 in Florence, Italy, at “Remedies and Sanctions for Unlawful Industrial Action in a Comparative Perspective,” a conference sponsored by Regulating Markets and Labour Programme, Istituto Italiano di Scienze Umane and the University of Florence, Florence, Italy. The authors thank Marty Malin, Paul Secunda, Laura Wienreb and Steven Willborn for comments made to a prior draft of this paper. Any errors and omissions remain the sole responsibility of the authors. 2 PhD, JD, IIT-Chicago Kent College of Law and Regulating Markets and Labor (Remarklab). Make all correspondence to crosado@kentlaw.edu. 3 JD 2012, IIT-Chicago-Kent College of Law, Certificate in Labor and Employment 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)0.005
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.080
Threshold uncertainty score0.159

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0050.004
Science and technology studies0.0220.027
Scholarly communication0.0250.007
Open science0.0020.007
Research integrity0.0130.009
Insufficient payload (model declined to judge)0.0060.001

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 head0.045
GPT teacher head0.378
Teacher spread0.333 · 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 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

Citations0
Published2012
Admission routes1
Has abstractyes

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