Young people of Chinese origin in western countries: a systematic review of their sexual attitudes and behaviour
Bibliographic record
Abstract
People of Chinese origin are a growing population group in western countries. The community is seen to be marginalised, under-researched and neglected, in fact the least understood ethnic minority. This paper reports on a systematic review of sexual attitudes and behaviour among ethnic Chinese young people (mainly aged 13-25 years) living in western countries. An extensive literature search was conducted to cover the period of 1989 and 2009 using Medline, CINAHL, PsycINFO and ScienceDirect databases. There has been a dearth of literature in this area. However, results from existing literature show that ethnic Chinese youth reported poorer sexual health knowledge than white young people in their host countries, while they were found to be more likely to disapprove of uncommitted sex, be virgins, lose their virginity at a later age and have fewer sexual partners. Factors associated with their sexual attitudes and behaviour have also been identified. Countries like the United Kingdom, United States and Canada have become multicultural societies with many diverse ethnic groups. Without doubt educators and sexual health professionals need to provide sex education and services which should be culturally appropriate to people from diverse ethnic backgrounds. An understanding of their sexual values, sexual behaviour and associated factors is the first step towards achieving this goal.
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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 | 0.003 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.006 | 0.011 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".