MétaCan
Menu
Back to cohort
Record W1982004704 · doi:10.7202/051157ar

The Duty to Accomodate: Its Growing Impact on the Grievance Arbitration Process

2005· article· en· W1982004704 on OpenAlexvenueaboutno aff
Donald D. Carter

Bibliographic record

VenueRelations industrielles · 2005
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicInternational Arbitration and Investment Law
Canadian institutionsnot available
Fundersnot available
KeywordsGrievanceArbitrationHuman rightsLawDutyEnforcementPolitical scienceJurisprudenceLaw and economicsCompulsory arbitrationBusinessSociology

Abstract

fetched live from OpenAlex

Grievance arbitrators now have a responsibility to interpret and apply human rights legislation in the course of resolving collective agreement disputes. This responsibility, however, raises the question of whether grievance arbitration is the most suitable forum for the application of human rights laws. In Canada, grievance arbitration has been a hybrid process, containing both public and private components. Recent arbitral jurisprudence, however, suggests that arbitrators see themselves as primarily private adjudicators. These cases indicate that arbitrators have been reluctant to give full scope to the duty to accommodate in order to avoid disturbing the terms of the collective agreement. This reluctance of the arbitrators to play a full role as human rights adjudicators means that, although arbitration is now a necessary forum for the resolution of human rights disputes, it is not necessarily the most ideal forum for the enforcement of Canadian human rights laws.

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)0.064
metaresearch head score (Gemma)0.104
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.205
Threshold uncertainty score0.408

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0640.104
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.004
Science and technology studies0.0110.049
Scholarly communication0.0230.012
Open science0.0030.013
Research integrity0.0120.015
Insufficient payload (model declined to judge)0.0150.002

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 head0.026
GPT teacher head0.269
Teacher spread0.243 · 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 designQualitative
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
Published2005
Admission routes2
Has abstractyes

Explore more

Same venueRelations industriellesSame topicInternational Arbitration and Investment LawFrench-language works237,207