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Record W41017097

Time Use of Self-Employed Parents: Gender, Caregiving, Well-being and Balance

2011· article· en· W41017097 on OpenAlexaboutno aff
Margo Hilbrecht, Donna S. Lero, Carolyn Pletsch

Bibliographic record

VenueCommonKnowledge Research Repository (Pacific University Oregon) · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicWork-Family Balance Challenges
Canadian institutionsnot available
Fundersnot available
KeywordsBalance (ability)PsychologyDevelopmental psychology
DOInot available

Abstract

fetched live from OpenAlex

Some parents are drawn to self-employment because of the perceived flexibility to balance multiple roles. Mothers, in particular, may seek self-employment to better manage the domestic ‘double shift’ (Hughes, 2006; Walker & Webster, 2006), and more often than fathers cite self-employment as a strategy to integrate work and family responsibilities (Gray & Hughes, 2005). But disadvantages associated with selfemployment like longer work hours, unpredictable schedules, and less leisure can affect feelings of balance (Hyytinen & Ruuskanen, 2007). This study explores the effects of self-employment on parents’ time use and perceptions of well-being, and whether these effects differ by gender. It uses a ‘relational time’ perspective, which suggests time is allocated and given meaning in relation to the needs, demands and desires of significant others (Odih, 1999).\nUsing weighted time diary data from the 2005 Canadian General Social Survey, time use patterns for 3,595 parents with at least one child at home (< 19 years) were compared for both self-employed (n=696) and employee parents (n=2,899). Well-being was measured by perceptions of time pressure, stress, job and life satisfaction, and satisfaction with work-life balance. Predictor variables for multivariate analysis included household composition, marital status, preschooler at home, education, immigrant status, and employment hours.\nTime use patterns were similar among employee and self-employed parents. When analyzed by gender, differences emerged according to employment arrangement. Compared to employees, self-employed mothers spent less time working for pay, and more time in direct caregiving and with children present. Self-employed fathers spent less time on routine activities such as children’s physical care and housework than employed fathers. Self-employed parents had significantly higher job satisfaction and overall satisfaction with life, but perceptions of stress were similar to employee parents. Time pressure was lower for fathers than mothers, with no difference by employment status. Mothers reported less satisfaction with work-life balance; however, self-employed fathers were significantly more dissatisfied with work-life balance than other fathers.\nOccupational characteristics of self-employment may help mothers create balance in the absence of employment policies ensuring flexibility. Job satisfaction is greater, but the instability of self-employment or other factors may undermine work-life balance for fathers. Different outcomes in both time use and well-being indicate the importance of sensitivity to gender and role expectations when examining occupational experiences of self-employed parents.\nSuggested discussion questions: Why might self-employment have no effect on parents’ levels of stress or time pressure, even though job satisfaction is much higher compared to parents who are employees? How might occupational class and/or occupational sector affect the experience of selfemployment in terms of feelings of balance and overall satisfaction with life? What insights do time diary data bring to understanding mothers’ and fathers’ experiences of selfemployment? What are some of the shortcomings of time diary data that could be addressed in future 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.491
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.002
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0000.001
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 head0.085
GPT teacher head0.294
Teacher spread0.209 · 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

Citations0
Published2011
Admission routes1
Has abstractyes

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