Bibliographic record
Abstract
It takes a village to raise a child. For a parent, this includes not only family and friends but support from employers and professional institutions as well. Any career gap can leave a professional feeling isolated and overwhelmed by the learning curve associated with reentering the workforce. With time, maternity support has improved significantly all over the world, but it still varies geographically. In Canada, eligible mothers can receive maternity benefits up to 12 weeks before their due date, and parents can choose to receive parental benefits over a period of 12 months at the current benefit rate or up to 18 months at a lower benefit rate. In the United States, the federal Family and Medical Leave Act requires employers to provide up to only 12 weeks of unpaid leave for several medical conditions, including childbirth for mothers. In Venezuela, pregnant women cannot be terminated from work during a period that lasts from the start of the pregnancy until two years after delivering the baby. There is also a provision in Venezuela for 26 weeks of paid maternity leave and two weeks of paternity leave. Paid maternity leave in Kuwait is 70 days, and female employees can request nonpaid leave up to four months after those 70 days.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.006 | 0.005 |
| Insufficient payload (model declined to judge) | 0.538 | 0.409 |
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".