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Record W2105623709 · doi:10.7202/007495ar

The Gender of Precarious Employment in Canada

2004· article· en· W2105623709 on OpenAlexaffvenueabout
Cynthia J. Cranford, Leah F. Vosko, Nancy Zukewich

Bibliographic record

VenueRelations industrielles · 2004
Typearticle
Languageen
FieldHealth Professions
TopicEmployment and Welfare Studies
Canadian institutionsStatistics CanadaYork UniversityUniversity of Toronto
Fundersnot available
KeywordsFeminization (sociology)WageDemographic economicsLabour economicsWork (physics)InequalityPrecarious workSurvey data collectionSociologyEconomicsGender studies

Abstract

fetched live from OpenAlex

This article examines the relationship between gender, forms of employment and dimensions of precarious employment in Canada, using data from the Labour Force Survey and the General Social Survey. Full-time permanent wage work decreased for both women and men between 1989 and 2001, but women remain more likely to be employed in part-time and temporary wage work as compared to men. Layering forms of wage work with indicators of regulatory protection, control and income results in a continuum with full-time permanent employees as the least precarious followed by full-time temporary, part-time permanent and then part-time temporary employees as the most precarious. The continuum is gendered through both inequalities between full-time permanent women and men and convergence in precariousness among part-time and temporary women and men. These findings reflect a feminization of employment norms characterized by both continuity and change in the social relations of gender.

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)0.001
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.035
Threshold uncertainty score0.251

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.005
Science and technology studies0.0090.005
Scholarly communication0.0040.001
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.065
GPT teacher head0.343
Teacher spread0.278 · 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 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

Citations163
Published2004
Admission routes3
Has abstractyes

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