Lagos Danya
University of California, Berkeley.
AJS. 2022 Jul;128(1):94-143. doi: 10.1086/719714.
Using a probability-based sample from 39 U.S. states from a general health survey, the author evaluates popular claims of a "transgender tipping point" by estimating probabilities of identifying as transgender and gender nonconforming among cohorts of respondents born between 1935 and 2001. Respondents born after 1984 are significantly more likely to identify as transgender or gender nonconforming than respondents in earlier cohorts. However, cohort changes in identification as transgender and gender nonconforming vary along lines of sex assigned at birth, race/ethnicity, and college attendance. Within different cohorts, these factors have different associations with higher or lower odds of identifying as transgender or gender nonconforming, sometimes contrasting with popular narratives and media representation patterns. Analyzed in context, these findings provide empirical evidence that several distinct population-level biographical availability patterns, including convergences, reversals, and persistence of demographic associations, have shaped the prevalence and composition of U.S. transgender and gender nonconforming populations over time.
作者利用来自美国39个州一般健康调查的概率样本,通过估计1935年至2001年出生的受访者群体中自我认同为跨性别者和性别不一致者的概率,来评估“跨性别临界点”的普遍说法。1984年以后出生的受访者比早期群体中的受访者更有可能自我认同为跨性别者或性别不一致者。然而,跨性别者和性别不一致者的身份认同随出生时指定的性别、种族/族裔和大学入学情况而变化。在不同群体中,这些因素与自我认同为跨性别者或性别不一致者的较高或较低几率有不同的关联,有时与流行的叙述和媒体呈现模式形成对比。结合背景分析,这些发现提供了实证证据,表明几种不同的人口层面传记可得性模式,包括人口关联的趋同、逆转和持续存在,随着时间的推移塑造了美国跨性别者和性别不一致者群体的患病率和构成。