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Record W2500340396 · doi:10.1177/0192513x16663253

Desperate Housewives? Differences in Work Satisfaction Between Stay-At-Home and Employed Mothers, 1972-2012

2016· article· en· W2500340396 on OpenAlexaff
Stephen Cranney, Andrew Miles

Bibliographic record

VenueJournal of Family Issues · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicWork-Family Balance Challenges
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsSocioeconomic statusPsychologyMeaning (existential)IdeologyDemographyDevelopmental psychologySocial psychologySociologyPolitical sciencePopulation

Abstract

fetched live from OpenAlex

Stay-at-home and employed mothers have been the subject of a wide range of both academic and popular discourse about roles, satisfaction, and meaning. However, no literature has examined time trends in relative satisfaction with being a stay-at-home versus a working mother. Here, we use pooled, yearly data from the General Social Survey to examine trends in how satisfied stay-at-home mothers are with their work relative to employed mothers. We find that stay-at-home mothers used to report less satisfaction with their work than employed mothers, but this gap became statistically nonsignificant around the same time trends in which societal attitudes toward gender roles began to shift. These changes are widespread across different socioeconomic and ideological groups, and do not appear to be attributable to sociodemographic composition changes.

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)0.000
metaresearch head score (Gemma)0.002
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 score0.039
Threshold uncertainty score0.078

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.000
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 head0.059
GPT teacher head0.318
Teacher spread0.259 · 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

Citations6
Published2016
Admission routes1
Has abstractyes

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