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Record W4408674254 · doi:10.1353/mpq.2024.a954128

Historical and Contextual Variations in the Association Between Gender Role Adherence and Well-Being: Revisiting an Early Essay From the Merrill-Palmer Quarterly

2024· article· en· W4408674254 on OpenAlexaboutno aff
William M. Bukowski, Melissa Commisso, Dawn DeLay, Luz Stella López

Bibliographic record

VenueMerrill-Palmer Quarterly · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicWork-Family Balance Challenges
Canadian institutionsnot available
Fundersnot available
KeywordsAssociation (psychology)PsychologyGender studiesDemographyHistorySociologyDevelopmental psychologyPsychotherapist

Abstract

fetched live from OpenAlex

Abstract: Ideas discussed in R. E. Hartley's essay published in the Merrill-Palmer Quarterly in 1960 were reconsidered in a study of the associations between measures of gender role identity and self-perceptions of well-being in two samples ( N s = 710 and 325) of older school-age participants from lower middle-class and upper middle-class neighborhoods in Montreal, Canada, and Barranquilla, Colombia. One sample was collected in 2002; the other, in 2017. The central concern of Hartley's essay was the consequence of historical changes in adherence to traditional gender role prescriptions. The current study participants rated items adapted from the Bem Sex Role Inventory to measure sensitivity/femininity and assertiveness/masculinity and completed a measure of self-perceived social competence and general self-worth. Two critical findings were observed. First, there was a time-related increase in sensitivity/femininity for upper middle-class participants from Montreal and a time-related decrease in assertiveness/masculinity for lower middle-class participants. Second, in both samples, the mean scores on the two measures of well-being were higher for children who were identified as androgynous than for children who were sex-typed. These findings replicate previous results and confirm Hartley's observations described in the Merrill-Palmer Quarterly seven decades ago.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.469
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.027
GPT teacher head0.287
Teacher spread0.260 · 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.

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
Published2024
Admission routes1
Has abstractyes

Explore more

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