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Record W6959535112 · doi:10.11575/prism/2682

Work to family and work to parent conflict: a study of male and female lawyers' demands and resources

2008· other· en· W6959535112 on OpenAlexaboutno aff

Bibliographic record

VenuePRISM (University of Calgary) · 2008
Typeother
Languageen
FieldEnergy
TopicRenewable Energy and Sustainability
Canadian institutionsnot available
Fundersnot available
KeywordsWork (physics)Work–family conflictOutcome (game theory)Paid workFamily conflictModeration

Abstract

fetched live from OpenAlex

In this study, a model that draws upon the Resource-Demand perspective, Karasek' s Job Demands-Control theory and Role theory was developed to understand the determinants of work-to-family and work-to-parent conflict. Hypotheses about the effects of work and family demands and resources and gender, were tested using secondary data from 646 Alberta lawyers. Results suggest that work domain variables are important for understanding work-to-family conflict. While family demands did not significantly contribute to work-to-family conflict, family resources such as paid help with childcare and housework, were important in moderating the harmful effects of work and family demands on work-to-family conflict. The model was less successful in explaining work-to-parent conflict and it was proposed that work-to-parent conflict may be better understood as an outcome of work-to-family conflict. More research is needed to investigate this possibility, as well as to understand why women experience more work-to-family and work-to-parent conflict than men.

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)0.002
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 score0.028
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
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 head0.012
GPT teacher head0.203
Teacher spread0.191 · 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

Citations0
Published2008
Admission routes1
Has abstractyes

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