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Record W1603795999

What Do Women Want from Union Representation

2000· article· en· W1603795999 on OpenAlexaboutno aff
Anne Forrest

Bibliographic record

VenueHecate · 2000
Typearticle
Languageen
FieldSocial Sciences
TopicLabor Movements and Unions
Canadian institutionsnot available
Fundersnot available
KeywordsArgument (complex analysis)Representation (politics)SociologyPolitical scienceLawGender studiesPolitical economyPoliticsMedicine
DOInot available

Abstract

fetched live from OpenAlex

What Do Women Want from Union Representation? Why women join unions is not a question that has elicited much interest from the industrial relations community. Despite the many studies of union organizing efforts among men, there are but few that investigate this issue in relation to women.(1) Given the central role that women have played in sustaining the union movement in Canada(2) and elsewhere, one would expect the field to be awash with new research. That this is not the case tells us that, insofar as women are concerned, the academic discipline of industrial relations is out of step with practice. What we know (or think we know) about women and unions in industrial relations comes not from the study of women themselves but is largely a by-product of the research on union growth.(3) Perversely, this literature tells us both that women are fundamentally different from men and that women are just like men. The earliest studies marked women as a problem for unions. From the `fact' of women's historically lower rates of union membership was deduced the `theory' of women's lower propensity to unionize. When the literature was blunt and at its most sexist, the argument was simple. Whether by nature or by socialisation women were not willing to join unions: `[a]s many observers know, women are (generally) not union-oriented. They dislike the thought of strikes, pickets, violence.'(4) For many scholars it was self-evidently true that the future growth of the union movement was severely limited by the growing number of women entering the labour force. This `saturation school' assumption was so widely accepted in the discipline that many studies (both macro and micro) employed gender as an explanatory, variable without any discussion whatsoever.(5) Others justified the use of gender as an independent variable, reciting the well-rehearsed but little-investigated argument that unionisation was less cost effective for women because they were only temporarily attached to the labour force or because they considered their wages to be a supplement to the family income. Some even argued that women should be excluded from the union density equation(6) altogether on the grounds that `they are either `unorganisable' or that their organisation is not `essential' to the trade union movement.'(7) The idea that women were innately `hard to organise' was exposed as wrong-headed once researchers adopted more sophisticated statistical tools. Notwithstanding the fact that union density remains lower among women, studies of union growth that utilised regression or discriminant analysis revealed that gender was rarely a statistically significant variable. Using time-series data from eight countries, Bain and Price showed that patterns of union growth among women mirrored those of men. And similar findings have been reported by researchers engaged in micro-level studies.(8) In their review of the literature, Wheeler and McClendon conclude that individual-level research `has revealed no relationship between gender and propensity to vote for union formation' (emphasis in the original).(9) Also telling were data from surveys of workers' attitudes which indicated that women, today, may be more inclined to join unions than men.(10) These findings forced researchers to abandon their sexist assumptions about who women are, in favour of a more systematic investigation of what women do.(11) Clearly, such a shift in understanding is of great importance to both women and the study of industrial relations. To move away from a theory that tags women as reluctant trade unionists by nature (or nurture) to one that focuses attention on their work experiences, is potentially to move women from the margins of the discipline to the centre. And yet, it is hard to be enthusiastic about a change in theory that arose entirely through empirical investigation. That industrial relations thinking about women and unions has slipped seamlessly from `pre-feminist' to `post-feminist' -- that is, from a model of gender difference to one of gender similarity -- is a less thorough-going change than it might appear. …

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)0.008
metaresearch head score (Gemma)0.033
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.016
Threshold uncertainty score0.053

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.033
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0040.006
Scholarly communication0.0070.006
Open science0.0010.003
Research integrity0.0040.004
Insufficient payload (model declined to judge)0.0160.003

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 head0.022
GPT teacher head0.312
Teacher spread0.290 · 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

Citations8
Published2000
Admission routes1
Has abstractyes

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