“Don’t Get Above Yourself ”: Heterosexual Cross-Class Couples Are Viewed Less Favorably
Bibliographic record
Abstract
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
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".