Using the dual control model to understand Chinese and Western cultural influences in sexuality for university women and men
Bibliographic record
Abstract
Young Chinese men and women living in Canada frequently report lower levels of sexual response and behaviour compared to their Euro-Caucasian peers. These differences are likely related to cultural factors and acculturation, but has not been well-integrated into more general models of sexual response regulation. The current investigation used the dual control model to organize and better understand these patterns in three studies in university men and women of Chinese and Euro-Caucasian descent. The first study examined whether dual control processes of sexual excitation and inhibition were applicable to between-group ethnic differences in sexual response and behaviour. Lower sexual excitation explained a significant proportion of the difference in mean sexual response and activity between Chinese and Euro-Caucasian women, and this effect was mediated by sexual attitudes. Sexual attitudes was separately associated with higher sexual inhibition and lower dyadic sexual response and activity in Chinese compared to Euro-Caucasian men. The second study examined the association of heritage and mainstream acculturation with sexual excitation, inhibition, attitudes, response, and activity among the Chinese individuals. For heterosexual men and women, mainstream acculturation was the primary predictor of sexuality variables, while heritage acculturation had a moderating role. Exploratory analyses for non-heterosexual Chinese men and women were also conducted; each sexual orientation group displayed different patterns of associations between acculturation factors and sexuality variables. The third study examined whether between-group differences in sexual excitation and inhibition were associated with sexual dysfunctions, asexuality, or sexual abstinence. The results did not conclusively suggest more dysfunction in Chinese women, but did suggest more dysfunction in Chinese men. Abstinence versus engagement in partnered sex had a moderation role on other outcomes. Theoretical implications for understanding the role ofiv Chinese culture, and culture in general, in regulating sexual response and behaviours were discussed for all three studies. Clinical implications for treatment of sexual concerns in young Chinese men and women were also discussed.
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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 | 0.005 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".