MétaCan
Menu
Back to cohort
Record W1567735185

Of Forest Fires and Systemic Discrimination: A Review of British Columbia (Public Service Employee Relations Commission) v. B.C.G.S.E.U.

2001· review· en· W1567735185 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueSSRN Electronic Journal · 2001
Typereview
Languageen
FieldBusiness, Management and Accounting
TopicRegulation and Compliance Studies
Canadian institutionsMcGill University
Fundersnot available
KeywordsAdjudicationHuman rightsSupreme courtDutyEmployment discriminationContext (archaeology)CommissionLawPolitical scienceReasonable accommodationSociology
DOInot available

Abstract

fetched live from OpenAlex

This case comment addresses the recent contributions to human rights law developed in the Supreme Court of Canada’s decision British Columbia (Public Service Employee Relations Commission) v. B.C.G.S.E.U. The Court held that the aerobic standard for evaluating the fitness of forest firefighters was discriminatory towards women. The Court ordered the reinstatement of Tawney Meiorin, a female forest firefighter who had lost her employment by reason of failing the mandatory provincial fitness testing. The author maintains that the Court significantly advances human rights analysis by articulating a unified approach to human rights defences that is not premised on any preliminary classification of the discrimination as either direct or adverse effect. The Court also highlights the importance of an employer’s duty to accommodate as an integral dimension of equality. The author suggests, nonetheless, that further elaboration of certain aspects of discrimination law will be required in future cases. More specifically, the concept of adverse effect discrimination should be retained and clarified to ensure that hidden and institutionalized forms of inequality are identified and remedied. Furthermore, there remains a need to ensure that discriminatory standards, rules, or policies are fully scrutinized and potentially revised before assessing individual accommodation strategies. Finally, the approach to health and safety risks in the context of human rights adjudication deserves further discussion.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.836
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.034
GPT teacher head0.273
Teacher spread0.239 · 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