Balancing work and family in the low-wage service sector: The role of legislated and collectively-bargained norms in Quebec
Bibliographic record
Abstract
OBJECTIVE: This paper looks at the role of legislated norms of general application in shaping "family-friendly" workplaces and their interaction with collectively-bargained standards in the retail service sector and more specifically, in a single unionized retail sector in Quebec, Canada. METHODS: The methodology used is traditional legal research methodology: analysis of laws, collective agreements and case law. The principal norms examined concern parental and family leave, working time and disparities between different employment statuses. RESULTS: A series of legislative provisions have been adopted in Quebec over the last 30 years whose objectives are the improvement of family-related leave and the reduction of working time. Unions have also negotiated provisions in collective agreements with these same goals. In the low-wage retail sector studied, the working time standards negotiated between the unions and the employers reflect the characteristics of the sector, most notably extended opening hours, seven days a week. Predictability of hours also varies according to employment status. Such issues as family-unfriendly working time arrangements (last-minute scheduling, asocial hours, etc.) and the need for flexibility in family-related leave are insufficiently taken into account by the legislated and bargained provisions. CONCLUSIONS: A fine analysis and comprehension of existing formal regulation, be it legislated or collectively-bargained, is required to fully understand workers' experiences with work-family balance and to identify the gaps between formal norms and the needs expressed by workers with respect to work-family balance.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.015 | 0.008 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".