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Record W2981159149 · doi:10.1177/0361684319878459

“Don’t Get Above Yourself ”: Heterosexual Cross-Class Couples Are Viewed Less Favorably

2019· article· en· W2981159149 on OpenAlexaff
Cara C. MacInnis, Elena Buliga

Bibliographic record

VenuePsychology of Women Quarterly · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicWork-Family Balance Challenges
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsPsychologySocial classSocial psychologyClass (philosophy)Prejudice (legal term)PerceptionDominance (genetics)Developmental psychology

Abstract

fetched live from OpenAlex

We examined perceptions of cross-class heterosexual couples, that is, couples where couple members differ in social class. Informed by social dominance theory, system justification theory, and equity theory, we predicted that (a) cross- (vs. same-) class couples would be perceived more negatively, (b) cross-class couples with the woman (vs. the man) in the higher class position would be evaluated more negatively, and (c) same-class low-low (vs. high-high) couples would be evaluated more negatively. We examined perceptions of cross-income, cross-education, and cross-occupation status relationships. We found support for our predicted patterns, with some exceptions. In general, high-high class couples were preferred. In three of four studies, a higher-class woman paired with a lower-class man was evaluated most negatively of all couples. Recognition of this prejudice may explain challenges faced by certain couples and couple members; as such, implications for clinicians and counselors are discussed. Further, our research generates directions for future research. Additional online materials for this article are available on PWQ’s website at http://journals.sagepub.com/doi/suppl/10.1177/0361684319878459

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)0.000
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.153
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.028
GPT teacher head0.346
Teacher spread0.318 · 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

Citations6
Published2019
Admission routes1
Has abstractyes

Explore more

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