Don’t Put All Of Your Eggs In Two Baskets: Exploring The Potential Benefits Of Multiple Role Priorities Among Employees in Dual-Earner Partnerships
Bibliographic record
Abstract
Traditionally, work-life balance researchers have aligned their studies with the scarcity hypothesis by focusing on work and family roles, the conflict that occurs between them, and how this conflict drains employee resources.More recently, studies have started to move into expansionist theories that look at a variety of roles that characterize "life" more broadly, under the assumption that roles can enrich one another.The current study examines the relationships between work, family, and personal role centrality and enrichment in dual-earner couples.The quantitative evidence supports the expansion hypothesis in finding that employees who prioritize multiple roles perceive higher levels of resources like social support, skills, affect, and capital, than those that do not.Further, mediation analyses found that these resources positively impact employees' perceptions of career satisfaction, life satisfaction, and balance, with social support and positive affect being the most consistent and strongest mediators, respectively.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.003 |
| 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".