Birth order and sibling sex ratio in homosexual transsexual South Korean men: Effects of the male‐preference stopping rule
Bibliographic record
Abstract
Two biodemographic variables - birth order and sibling sex ratio - have been examined in several Western samples of homosexual transsexual men. The results have consistently shown that homosexual transsexuals have a later birth order and come from sibships with an excess of brothers to sisters; the excess of brothers has been largely driven by the number of older brothers and hence has been termed the fraternal birth order effect. In the present study the birth order and sibling sex ratio were examined in an Asian sample of 43 homosexual transsexual men and 49 heterosexual control men from South Korea. Although the transsexual men had a significantly late birth order, so did the control men. Unlike Western samples, the Korean transsexuals had a significant excess of sisters, not brothers, as did the control men, and this was largely accounted for by older sisters. It is concluded that a male-preference stopping rule governing parental reproductive behavior had a strong impact on these two biodemographic variables. Future studies that examine birth order and sibling sex ratio in non-Western samples of transsexuals need to be vigilant for the influential role of stopping rules, including the one identified in the present study.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 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".