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Record W2138976983 · doi:10.1177/0018726702055011919

Employed Mothers and the Work-Family Interface: Does Family Structure Matter?

2002· article· en· W2138976983 on OpenAlexaff
Kelly McManus, Karen Korabik, Hazel M. Rosin, E. Kevin Kelloway

Bibliographic record

VenueHuman Relations · 2002
Typearticle
Languageen
FieldSocial Sciences
TopicWork-Family Balance Challenges
Canadian institutionsYork UniversitySaint Mary's UniversityUniversity of Guelph
FundersUniversity of Pittsburgh
KeywordsPsychologyWork (physics)Demographic economicsJob satisfactionMarital statusSocial psychologyDemographySociologyEconomics

Abstract

fetched live from OpenAlex

Differences in the experience of work-family (W-F) issues between employed single and married mothers were investigated among women in lower level (Study 1) and higher level (Study 2) occupations. Few differences were found. For both single and married mothers in lower level occupations, higher organizational and supervisor support and greater use of formal policies were related to lower work interference with family (WIF) and higher family and job satisfaction. For women in higher level occupations, results depended upon marital status, family demands and income. Married women with lower family demands and higher incomes reported less informal support, but were more satisfied with formal W-F policies and rated them as more important. This was related to higher WIF, but lower family interference with work (FIW), and higher job and family satisfaction.

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)0.005
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 score0.003
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.027
GPT teacher head0.282
Teacher spread0.255 · 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

Citations91
Published2002
Admission routes1
Has abstractyes

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