Chinese and American Individuals’ Mate Selection Pressures: Self-Focused vs. Mate-Focused
Bibliographic record
Abstract
In this study, we compared Chinese and American never-married heterosexual adults’ self-reported mate selection pressures and write-in responses on perceived mate selection pressures for men and women, respectively (N = 918; 489 Chinese and 429 Americans). Participants’ mean age was 25.67 years old (SD = 4.50), and data were collected in 2013. Overall, Chinese participants reported significantly higher mate selection pressures than American participants did. Chinese participants’ mate selection pressures also focused overwhelmingly more on their own mate selection assets (self-focused) than on their possible mate’s mate selection assets (matefocused), and considerably more so compared to American participants’ mate selection pressures. We discussed the relative focuses of Chinese and American participants’ mate selection pressures, gender differences in participants’ mate selection pressures, and the implications of the study’s findings for existing understandings of mate selection process in two distinct cultural contexts.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".