“Family-Friendly” Jobs and Motherhood Pay Penalties: The Impact of Flexible Work Arrangements Across the Educational Spectrum
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This article focuses on how flexible work arrangements affect motherhood wage penalties for differently situated women. While theories of work–life facilitation suggest that flexible work should ease motherhood penalties, the use of flexibility policies may also invite stigma and bias against mothers. Analyses using Canadian linked workplace–employee data test these competing perspectives by examining how temporal and spatial flexibility moderate motherhood wage penalties and how this varies by women’s education. Results show that flexible work hours typically reduce mothers’ disadvantage, especially for the university educated, and that working from home also reduces wage gaps for most educational groups. The positive effect of flexibility operates chiefly by reducing barriers to mothers’ employment in higher waged establishments, although wage gaps within establishments are also diminished in some cases. While there is relatively little evidence of a flexibility stigma, the most educated do face stronger wage penalties within establishments when they substitute paid work from home for face time at the workplace as do the least educated when they bring additional unpaid work home. Overall, results are most consistent with the work–life facilitation model. However, variability in the pattern of effects underscores the importance of looking at the intersection of mothers’ education and workplace arrangements.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it