MétaCan
Menu
Back to cohort
Record W4391996537 · doi:10.1177/00027642241231312

Work Role Commitment and Interference of Work with Family Among Asian and White Americans: A Self-Verification Perspective

2024· article· en· W4391996537 on OpenAlexaff
Yu‐Shan Hsu, Mihaela Dimitrova, Margaret A. Shaffer, Gloria J. Miller

Bibliographic record

VenueAmerican Behavioral Scientist · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicWork-Family Balance Challenges
Canadian institutionsConcordia University
Fundersnot available
KeywordsPerspective (graphical)White (mutation)Work (physics)Social psychologyPsychologyAsian americansSociologyEthnic groupComputer scienceEngineering

Abstract

fetched live from OpenAlex

Based on a sample of 168 Asian Americans and 248 White Americans, we found that Asian Americans were more prone to experience interference of work with family life when they were highly committed to their work role compared to White Americans. This difference was more pronounced for Asian Americans with low self-esteem, whereas there were no differences between the ethnic groups for those with high self-esteem. In sum, we find that examining the level of commitment of Asian Americans to a work role is insufficient for understanding how their work interferes with family life. Our findings reflect that, for Asian Americans, their cultural values, traditions, and heritage also play a significant role, especially for those individuals with low self-esteem. The article also addresses practical implications and future directions for research.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.098
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.004
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.019
GPT teacher head0.309
Teacher spread0.290 · 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 teacher head, not a consensus.

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

Citations1
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueAmerican Behavioral ScientistSame topicWork-Family Balance ChallengesFrench-language works237,207