The Impact of Neighborhood Composition on Work-Family Conflict and Distress
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
Theories of work-family conflict (WFC) and health remain limited because they emphasize individual-level antecedents to the exclusion of broader contexts, such as residential neighborhoods. We address this issue by focusing on the impact of neighborhood social composition on WFC. Among couples with children we assess whether socially similar neighbors relative to oneself reduce perceptions and mental health consequences of WFC, and whether these associations differ by gender. We argue that the convergence of similarities in residents' features relative to the respondent's own may affect WFC by influencing normative expectations about work and family, and assumptions of available support. We use data on intact families with at least one child between the ages of 9 and 16 from Toronto, Canada, linked to census data. Results highlight that greater similarity between respondents and residents reduces perceptions and consequences of WFC for women but not men. We discuss these findings in relation to neighborhood effects and mental health literature.
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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 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| 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