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Record W2313712459 · doi:10.1093/indlaw/dwv034

Enforcement of Employment Rights by EU-8 Migrant Workers in Employment Tribunals

2015· article· en· W2313712459 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueIndustrial Law Journal · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicEuropean Criminal Justice and Data Protection
Canadian institutionsTrinity College
FundersEconomic and Social Research CouncilSocio-Legal Studies Association
KeywordsTribunalEnforcementMigrant workersBusinessPolitical scienceLabour lawLawLabour economicsEconomicsEconomic growth

Abstract

fetched live from OpenAlex

Abstract As migrant workers, EU-8 nationals enjoy a right to equal treatment with nationals in respect of their terms and conditions of employment. While some employers have tried to meet their legal obligations towards EU-8 nationals, others have denied them their employment rights under UK law. In this paper, we explore how EU-8 migrants make use of Employment Tribunals (ETs) to enforce their employment rights. How many cases do they bring before ETs, and what are they about? Are claims brought alone or with support, and if so, from whom? How are EU-8 workers treated once they are before a Tribunal and how successful are their claims? If there is evidence that EU-8 migrants are successfully bringing claims to enforce their employment rights, then fears about undercutting and exploitation of vulnerable workers are perhaps less serious than they would first appear. If they are not, then concerns about (mis)treatment are justified and prompt the further question as to how their rights could be better protected in practice, particularly given the introduction of fees for accessing ETs.

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.

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)0.003
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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.272
Threshold uncertainty score0.902

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.141
GPT teacher head0.345
Teacher spread0.205 · 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