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Record W4413243910 · doi:10.3138/ccar.v17i2.175

Class Actions, Workplace Harassment, and Discrimination Disputes: A Case Study of <i>Lewis V Westjet Airlines Ltd</i>

2022· article· en· W4413243910 on OpenAlexaboutno aff
Jessica Park

Bibliographic record

VenueCanadian Class Action Review · 2022
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicCorporate Law and Human Rights
Canadian institutionsnot available
Fundersnot available
KeywordsHarassmentJurisdictionClass actionEconomic JusticeLaw and economicsPolitical scienceSettlement (finance)SociologyPublic relationsLawBusinessFinanceState (computer science)

Abstract

fetched live from OpenAlex

Abstract: Lewis v WestJet Airlines Ltd (Lewis) is the most recent decision to conclude that class actions are not preferable to the Canadian Human Rights Tribunal (CHRT) in resolving claims arising from workplace discrimination and harassment. Lewis has profound implications for class counsel and federally regulated industries as class actions may no longer be available for any claims that the CHRT has shared jurisdiction over. After reviewing the procedural and remedial provisions under the Canadian Human Rights Act (CHRA), I found that the CHRT is incapable of overcoming barriers faced by employees in pursuing claims of workplace discrimination and harassment. Class actions, on the other hand, are equipped with various financial resources for claimants, addressing the economic barrier to access to justice. Also, class actions obviate the need for requiring every employee to participate in the dispute resolution process and therefore minimize re-traumatization of victims, a psychological barrier to access to justice. The CHRT cannot adequately manage a massive number of discrimination claims brought against the same employer as envisioned by McLachlin CJ in Hollick v Toronto (City). The aggregation of complaints, which enables the creation of a settlement that binds the entire class, is what makes a class action work, and that mechanism is not available in the CHRT process. As such, Lewis, to the extent that it undermined these practical problems with the CHRT, was wrongly decided. Ultimately, I suggest that the coexistence of the CHRT and class action regimes will best achieve the goal of access to justice.

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: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.548
Threshold uncertainty score0.938

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.070
GPT teacher head0.290
Teacher spread0.220 · 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 designNot applicable
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
Published2022
Admission routes1
Has abstractyes

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