New Professional Identities of Women and Unionism: A Possible Compatibility?
Bibliographic record
Abstract
Building on current debates on the future of unionism, this article examines the ways in which unionized women identify themselves with unionism. In broaching the crisis of trade unionism through an examination of professional workforce representation in the service sector, this study aims to understand the linkages between the new professional identities of women and union membership. The research framework comprises four theoretical approaches allowing us to identify key elements of the employment relationship that can affect union membership. Whilst considering materialist and instrumental approaches, the main theoretical contribution of this article is to identify a linkage between the new professional identities of women, forces of which act to erode trade unionism, and union activities, forces of which act to reinforce trade unionism. This study examines the case of the Desjardins Group in Quebec’s financial sector. From a telephone survey of 576 unionized employees of Desjardins Group, the main results of this quantitative research highlight the reconsideration of unionization by professionals, people with weak social ties at work, and those who are dissatisfied with their salary. Conversely, unfavourable working conditions and proactive and democratic union activities reinforce union loyalty amongst women.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.010 | 0.049 |
| Scholarly communication | 0.012 | 0.009 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".