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Record W2809698980 · doi:10.5267/j.msl.2018.6.013

Social support as a moderator of the relationship between work family conflict and family satisfaction

2018· article· en· W2809698980 on OpenAlexvenueno aff
Nurul Habibatunn Jamaludin, Raja Zirwatul Aida Raja Ibrahim, Mazidah Mohd Dagang

Bibliographic record

VenueManagement Science Letters · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicWork-Family Balance Challenges
Canadian institutionsnot available
Fundersnot available
KeywordsModerationWork–family conflictSocial psychologyPsychologyWork (physics)

Abstract

fetched live from OpenAlex

This study examines the role of social support in the relationship between work family conflict (work to family; WFC & family to work; FWC) and family satisfaction for private sector employees.Using simple random sampling, data were collected from 260 employees from eight private companies in Terengganu, who responded to the Job Content Questionnaire, Work Family Conflict Scale and Family Satisfaction Scale.Results indicate that both WFC and FWC had significant relationships with family satisfaction.The results of the regression analysis confirmed that FWC was a significant predictor of employees' family satisfaction.However, social support did not buffer the relationship between work family conflict and family satisfaction.Implication of this study indicates that the organizations need to emphasize the effective strategies of development and implementation for work family balance in improving family satisfaction among employees.The suggestions for future research are also addressed, especially in the Malaysian context.

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)0.001
metaresearch head score (Gemma)0.007
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 score0.004
Threshold uncertainty score0.014

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.063
GPT teacher head0.324
Teacher spread0.261 · 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

Citations14
Published2018
Admission routes1
Has abstractyes

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