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Record W2602520643 · doi:10.3138/jcfs.42.5.723

Family-to-Work Conflict: Gender, Equity and Workplace Policies

2011· article· en· W2602520643 on OpenAlexvenueno aff
Jia Zhao, Barbara H. Settles, Xuewen Sheng

Bibliographic record

VenueJournal of Comparative Family Studies · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicWork-Family Balance Challenges
Canadian institutionsnot available
Fundersnot available
KeywordsWork–family conflictJob satisfactionEquity (law)Work (physics)PsychologySocial psychologyEquity theoryDivision of labourPerceptionRole conflictDemographic economicsPolitical scienceEconomic growthEconomicsProductivity

Abstract

fetched live from OpenAlex

Balancing parenthood and a successful career in workplace holds unique challenges, especially for women who often report greater demands in terms of child care and family obligations. Gender and parenthood status influence couple’s definitions and perceptions of the work and family demands and responsibilities, and thus lead to different work and family outcomes measured by job satisfaction and marital satisfaction. This study examines gender differences on work-family conflict and job satisfaction as related to the division of labor and perceptions of equity and fairness by drawing on a U.S. representative data from the 2002 National Study of the Changing W orkforce (NSCW). The trend in balancing work and family responsibilities in the U.S. society is analyzed. Adaptive strategies and practical considerations for workplace policies are discussed. Future research and policy applications are suggested to both sides of parenthood experience in working family, and cultural considerations on work-family conflict.

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 imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.002
Scholarly communication0.0020.002
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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.

Opus teacher head0.392
GPT teacher head0.446
Teacher spread0.053 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations40
Published2011
Admission routes1
Has abstractyes

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