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Record W4210789974 · doi:10.1177/00914150221077948

Mental Health of Employed Family Caregivers in Canada: A Gender-Based Analysis on the Role of Workplace Support

2022· article· en· W4210789974 on OpenAlexaffabout
Lun Li, Yeonjung Lee, Daniel W. L. Lai

Bibliographic record

VenueThe International Journal of Aging and Human Development · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicIntergenerational Family Dynamics and Caregiving
Canadian institutionsUniversity of CalgarySimon Fraser University
Fundersnot available
KeywordsMental healthPsychologyClinical psychologyPsychiatry

Abstract

fetched live from OpenAlex

This study examines the effect of gender differences in mental health outcomes among employed family caregivers, focusing on the role of workplace support in balancing work and caregiving. Guided by the social role theory, this study analyzes nationally representative data from the 2012 Canada General Social Survey, with a sample of 2,426 participants. Women experience worse mental health outcomes than men when they require employment adjustment to fulfill their caregiving responsibilities. Workplace support could offset the negative effects of employment adjustment on mental health either directly or indirectly through family-work conflict, but gender difference is apparent in terms of the effect of workplace support. In general, women require more supportive workplace than men. Further study of the effects of various types of workplace support on the mental health among women who are employed family caregivers, and on more tailored support, is recommended.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.281
Threshold uncertainty score0.800

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.017
GPT teacher head0.271
Teacher spread0.253 · 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.

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

Citations17
Published2022
Admission routes2
Has abstractyes

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