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What Do Women Want from Union Representation

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

Notice bibliographique

RevueHecate · 2000
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueLabor Movements and Unions
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésArgument (complex analysis)Representation (politics)SociologyPolitical scienceLawGender studiesPolitical economyPoliticsMedicine
DOInon disponible

Résumé

récupéré en direct d'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. …

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,008
score de la tête « metaresearch » (Gemma)0,033
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,016
Score d'incertitude au seuil0,053

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0080,033
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,002
Études des sciences et des technologies0,0040,006
Communication savante0,0070,006
Science ouverte0,0010,003
Intégrité de la recherche0,0040,004
Charge utile insuffisante (le modèle a refusé de juger)0,0160,003

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,022
Tête enseignante GPT0,312
Écart entre enseignants0,290 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeQualitatif
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations8
Publié2000
Routes d'admission1
Résumé présentoui

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