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Record W2119712216 · doi:10.1525/sp.2008.55.4.590

Trouble at the Border?: Gender, Flexibility at Work, and the Work-Home Interface

2008· article· en· W2119712216 on OpenAlexaff
Scott Schieman, Paul Glavin

Bibliographic record

VenueSocial Problems · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicWork-Family Balance Challenges
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsAutonomyWork (physics)Work scheduleControl (management)Flexibility (engineering)WorkforceSchedulePsychologyWork–family conflictSocial psychologyPolitical scienceManagementEngineering

Abstract

fetched live from OpenAlex

Using data from the 2002 National Survey of the Changing Workforce, this article examines the effects of schedule control and job autonomy on two forms of work-home role blurring: receiving work-related contact outside of normal work hours and bringing work home. Schedule control is associated positively with the frequency of receiving contact and bringing work home, although those effects are stronger among men. Job autonomy is associated positively with contact among men only, but it is associated positively with bringing work home among both women and men. Schedule control and job autonomy also modify the association between these forms of role blurring and work-to-home conflict: (1) contact is associated positively with work-to-home conflict among individuals with low job autonomy; and (2) bringing work home is associated positively with work-to-home conflict among individuals with greater schedule control. We discuss the theoretical implications of our findings for the linkages among gender, work conditions associated with control, and the work-home interface.

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 score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
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 head0.071
GPT teacher head0.321
Teacher spread0.250 · 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

Citations160
Published2008
Admission routes1
Has abstractyes

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