WORK-FAMILY BALANCING AND WORKING TIME: WHAT MEASURES ARE AVAILABLE TO CANADIAN WORKERS AND WHAT MEASURES SHOULD EMPLOYERS DEVELOP?
Bibliographic record
Abstract
This article examines work-family balance. Data from the Workplace and Employee Survey (WES) was used to assess the overall situation of this phenomenon in Canada. Representative statistical data was used to determine to what extent employers have taken the work-family challenge into account. Our data indicate that the progress observed regarding the social debate on work-family balance has not necessarily translated into a marked improvement in facilitating conditions in workplaces and that there have even been setbacks. Indeed, the number of workdays per week has slightly increased, reaching almost 5 days on average for men and 4.6 days for women in 2002. Moreover, a significant percentage of the Canadian workforce is on flexible work schedules or rotating shifts, which were identified as a source of difficulty for work-family balance. On the other hand, a great proportion of Canadian workers report that they work a number of hours at home, which may foster balance but can also be a source of encroachment on private life. The WES data show that people work at home because of work demands and not for reasons of work-family balance. In brief, work spills over into their personal lives. Moreover, although the most pressing desire of Canadian parents with children under the age of 3 is that employers offer help with daycare and on-site childcare services, barely more than one-quarter of Canadian workers report that their employers offered childcare services in 2002. Also, employers offer help with eldercare services to only one-tenth of Canadian workers. As regards the impact of the number of children, its effect on work time, schedules and preferences related to work time is ambiguous. As regards interest in work time reduction, the effect is also ambiguous but workers with one child or two children expressed a slightly greater desire to reduce their work hours. On the other hand, a link was found between the number of children and the desire to work extra hours since the more children workers have, the less they want to work extra hours.
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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 | 0.024 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.007 | 0.013 |
| Science and technology studies | 0.006 | 0.002 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".