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Record W2276163735 · doi:10.1139/apnm-2015-0552

Human rights at work: Physical standards for employment and human rights law

2016· article· en· W2276163735 on OpenAlexaffvenueabout
Eric M. Adams

Bibliographic record

VenueApplied Physiology Nutrition and Metabolism · 2016
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicRegulation and Compliance Studies
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsHuman rightsJudicial interpretationFundamental rightsDutyPolitical scienceLabour lawInternational human rights lawLawLegislationSupreme courtFreedom of associationDiversity (politics)Law and economicsBusinessEconomics

Abstract

fetched live from OpenAlex

This review focuses on the human rights dimensions of creating and implementing physical standards for employment for prospective and incumbent employees. The review argues that physical standards for employment engage two fundamental legal concepts of employment law: freedom of contract and workplace human rights. While the former promotes an employer's right to set workplace standards and make decisions of whom to hire and terminate, the latter prevents employers from discriminating against individuals contrary to human rights legislation. With reference to applicable human rights legislative regimes and their judicial interpretation in Canada, the United States, the United Kingdom, and Australia, this review demonstrates the judicial preference for criterion validation in testing mechanisms in the finding of bona fide occupational requirements. With particular attention to the Supreme Court of Canada decision in Meiorin, this review argues that an effective balance between workplace safety and human rights concerns can be found, not in applying different standards to different groups of individuals, but in an approach that holds employers to demonstrating a sufficient connection between a uniform physical standard of employment and the actual minimum requirements to perform the job safety and efficiently. Combined with an employer's duty to accommodate, such an approach to lawful physical standards for employment conceives of worker and public safety and workplace diversity as emanating from a shared concern for human rights.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.646
Threshold uncertainty score0.850

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.019
GPT teacher head0.269
Teacher spread0.250 · 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 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

Citations0
Published2016
Admission routes3
Has abstractyes

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