Social Tolerance of Homosexuality: A Quantitative Comparison of Mainland China, Singapore, and Taiwan
Bibliographic record
Abstract
This study compares three Asian societies that are heavily influenced by Chinese culture and Confucianism, mainland China, Singapore, and Taiwan, in their social correlates of public tolerance of homosexuality. Due to different sociopolitical environments and public policies regarding homosexuality, individual-level factors such as education, income, age, and religiosity operate in distinct ways in the three societies. The more progressive environment in Taiwan allows more room for the manifestation of individual-level influences, compared to mainland China and Singapore. With respect to homosexuality, the tolerance-promoting effects of education and income and the tolerance-depressing effects of age and religiosity are significantly more pronounced in Taiwan than in mainland China and Singapore. Broader sociopolitical environments not only affect the overall level of tolerance of homosexuality in a society but also shape what individuals in the society are more tolerant.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".