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Record W4406405331 · doi:10.1080/0023656x.2025.2453038

Flying high on stipends: a historical analysis of flight attendant union struggles in (neoliberal) Canada

2025· article· en· W4406405331 on OpenAlexaffabout
Kenneth Haggett, Eugena Kwon, Lauren Cormier

Bibliographic record

VenueLabor History · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicLabor Movements and Unions
Canadian institutionsTrent UniversitySaint Mary's University
Fundersnot available
KeywordsPolitical scienceNeoliberalism (international relations)Political economyEconomicsLaw

Abstract

fetched live from OpenAlex

Since the establishment of the Canadian Air Line Flight Attendants’ Association (CALFAA) in 1948 and the Airline Division of the Canadian Union of Public Employees (CUPE) in 1984, flight attendant unions have advocated for duty time limits, sufficient rest periods, and fair wages. Recently, CUPE’s Airline Division has focused their efforts on unpaid ground time – a vital but overlooked element of flight attendant labor. Despite the union’s efforts, the persistence of unpaid ground time illustrates a trend of systemic prioritization of corporate profit over workplace equity. Through an overview of academic and grey literature (e.g. news articles, government documents), this review details the history of Canadian flight attendant unions before and after neoliberal reforms in the 1980s to trace trends in labor relations. We argue that increased governmental intervention and corporate exemptions in employee-employer labor relations prioritize the industry’s financial stability, forming structural barriers that dilute unions’ change-making capacity. Ultimately, we contextualize unpaid ground time within these trends – where systemic prioritization of corporate interests trump unions’ labor concerns, leaving attendants’ workplace inequity unaddressed.

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)0.002
metaresearch head score (Gemma)0.004
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.159
Threshold uncertainty score0.975

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0060.017
Science and technology studies0.0200.010
Scholarly communication0.0080.003
Open science0.0020.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0060.000

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 head0.010
GPT teacher head0.245
Teacher spread0.235 · 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

Citations1
Published2025
Admission routes2
Has abstractyes

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