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Record W3012137894 · doi:10.54648/ijcl2019020

Regulating Labour Disputes in the Police Services: Legal and Practical Perspectives from Ontario and British Columbia, Canada

2019· article· en· W3012137894 on OpenAlexaboutno aff
Giuseppe Carabetta

Bibliographic record

VenueInternational Journal of Comparative Labour Law and Industrial Relations · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicLabor Movements and Unions
Canadian institutionsnot available
Fundersnot available
KeywordsStatutory lawArbitrationCollective bargainingPolitical scienceLawBusinessSociology

Abstract

fetched live from OpenAlex

Ontario and British Columbia, Canada, have not seen a police strike in living memory. The reason for this is the mandatory interest arbitration model adopted in the two provinces, which sees disputes that cannot be resolved by mutual bargaining referred to a panel of arbitrators who assess submissions in light of statutory criteria. Police officers, and the unions who represent them, have utilized this model to increase pay and improve working conditions often, employers say, without regard to ‘ability to pay.’ This article assesses that claim against the results that the model produces and how insiders understand the system as operating. Its conclusion is that interest arbitration has produced good results, especially for police and emergency workers and the community they serve, but the means of getting there have soured relations and may need reform to remain sustainable into the future.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.700
Threshold uncertainty score0.789

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 studies0.0000.000
Scholarly communication0.0010.001
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 head0.025
GPT teacher head0.302
Teacher spread0.277 · 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 designObservational
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
Published2019
Admission routes1
Has abstractyes

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