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Record W2601934913 · doi:10.3138/jcfs.42.1.113

Decisions of First Time Expectant Mothers in Central Texas Compared to Women in Great Britain and Spain: Testing Hakim’s Preference Theory

2011· article· en· W2601934913 on OpenAlexvenueno aff
Leslie Stanley-Stevens, Karen Claiborne Kaiser

Bibliographic record

VenueJournal of Comparative Family Studies · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicWork-Family Balance Challenges
Canadian institutionsnot available
Fundersnot available
KeywordsSocializationFeelingPreferenceSocial psychologyPsychologyMandatePerspective (graphical)Work (physics)Political scienceEconomicsLaw

Abstract

fetched live from OpenAlex

Past research suggests that external constraints such as the need for income, husbands’ desires, and socialization are what most influence whether mothers work for pay while, more recently, Hakim (2003a; 2003b; 2003c) argued that women’s personal preferences guide this important decision. Rather than husbands’ desires dictating whether wives work for pay or not, results from this study indicate that women in central Texas chose husbands according to how supportive they were of their wives’ wishes. Their decisions to work for pay or not were influenced by their perceived need for more income, whether their own mothers worked, and their socialization. Components of socialization found related to work decisions included “gender strategies” (Hochschild & Machung, 1989), which are peoples’ childhood conceptualizations about gender combined with their teenage experiences and finally rectified with current feelings about societal norms and how one’s own attitudes and behaviors compare to those norms. Another component of socialization related to women’s work and family decisions is the “motherhood mandate,” a perspective that teaches women to believe that their greatest fulfillment stems directly from being a mother (Russo, 1979). Despite employment, women tended to carry the lion’s share of domestic duties. The findings suggest that both external constraints and personal preference guide women’s work decisions.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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 score0.130
Threshold uncertainty score0.635

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.219
GPT teacher head0.349
Teacher spread0.130 · 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.

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

Citations3
Published2011
Admission routes1
Has abstractyes

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