Transitioning Into and Out of Parental Leave:Recommendations for Three Stages of Support
Bibliographic record
Abstract
Given the intersection of low fertility rates and an aging workforce at both the provincial and national levels, this report recommends support working mothers in order to address the impending climate of a labour and population shortage. The report will recommend both public policy and workplace initiatives that aim to ease women’s undertaking of the roles of mother and worker simultaneously, without having to endure the same work-related risks they have in the past. More specifically, the report will focus on the three stages of transitioning into and out of parental leave: (1) deciding to have a child, (2) using parental leave, and (3) returning to work after leave. I recommend public policy and/or workplace initiatives for each of the three stages. My recommendations are as follows: 1. Eliminate the two-week waiting period for maternity/parental leave benefits. 2. Increase the wage replacement rate on parental leave benefits to 65-70%. 3. Eliminate the cap on the wage replacement benefit. 4. Introduce a two-week non-transferable paid paternity leave benefit for fathers. 5. Promote part-time work and telework as mechanisms for a successful transition back into work after parental leave. 6. Increase funded research on family-friendly policies in Newfoundland and Labrador. 7. Increase funded research into childcare options for Newfoundland and Labrador. This report covers much ground with limited time and resources. It is important that research like this continue to be conducted in Newfoundland and Labrador, and in Canada. It was my goal with this research to get the ball rolling, as it were: to make individuals in our province aware of potential solutions, which are well within our means, to the impending labour and population shortage. This report presents options for government and workplaces to employ that will strengthen the position of women in the paid workforce while addressing the impending demographic imbalance. My hope is that this study will become one of many; its subject is vitally important to the economic and social well-being of our province and its people.
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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 | 0.026 | 0.076 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.004 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.008 | 0.002 |
| Scholarly communication | 0.009 | 0.010 |
| Open science | 0.008 | 0.014 |
| Research integrity | 0.019 | 0.022 |
| Insufficient payload (model declined to judge) | 0.032 | 0.009 |
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".