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相关概念视频

Automatic Processing and Automatic Social Behavior01:28

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Automatic processing refers to the cognitive operations that occur without conscious intent or awareness, playing a fundamental role in shaping social cognition and behavior. These processes enable individuals to navigate complex social environments efficiently by relying on mental shortcuts and pre-existing knowledge structures known as schemas. One of the most influential mechanisms underlying automatic processing is priming, which subtly activates mental representations through exposure to...
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Social-emotional experiences and cultural influences play significant roles in shaping gender development. During middle childhood, from ages 6 to 11, peer groups become dominant in reinforcing gender norms. Children in this age group often align with same-gender peer groups, which actively encourage behaviors that conform to traditional gender roles. For instance, boys may be discouraged from engaging in activities perceived as feminine, reinforcing culturally dictated norms about masculinity...
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The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...
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In most organisms, sex is determined by the ratio of X and Y chromosomes. However, in some organisms, such as Drosophila and C.elegans, sex is determined by the ratio of the number of X chromosomes to the number of sets of autosomes. The Y chromosome in Drosophila is active but does not determine sex. It contains genes responsible for the production of sperms in adult flies.  
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The Y chromosome is a sex chromosome found in several vertebrates and mammals, including humans. In addition to 22 pairs of autosomes, the human males have one X chromosome and one Y chromosome. In these organisms, the presence or absence of the Y chromosome determines the development of male traits.
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Linearity is a system property characterized by a direct input-output relationship, combining homogeneity and additivity.
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一个自动化的算法,用于对性别认同的扩展性反应进行分类.

Alexis Ceja1,2, Sawye Raygani3, Bradley T Conner4

  • 1Department of Community Health Systems, School of Nursing, University of California, San Francisco, San Francisco, CA, USA.

Psychology of sexual orientation and gender diversity
|November 21, 2025
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概括
此摘要是机器生成的。

开发了一种自动化算法,用于对性和性别少数群体 (SGM) 个人进行多样性性别认同分类. 这种方法准确地分类了近一半的SGM参与者,防止数据丢失,提高了研究中的统计能力.

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科学领域:

  • 社会科学 社会科学 社会科学
  • 心理学 心理学 心理学
  • 社会学 社会学 社会学

背景情况:

  • 目前的性别认同措施缺乏分析性和性别少数群体 (SGM) 个体扩展反应的方法.
  • SGM个体希望有机会提供详细和多重的性别认同反应.
  • 如果没有适当的分类,很大一部分SGM参与者可能会被排除在分析之外或被错误分类.

研究的目的:

  • 从扩展的响应中开发一个自动化的算法来生成可分析的性别身份类别.
  • 通过准确地分类各种性别认同,提高涉及SGM人口的研究的统计能力.
  • 创建五个不同的性别类别:cisgender男性,cisgender女性,性别扩展型个人,跨性别男性和跨性别女性.

主要方法:

  • 使用参与者的扩展性别认同反应和出生时分配的性别创建了一个自动化算法.
  • 在2020年6月至2021年6月期间,从6,312名SGM个体的队列中收集了数据.
  • 使用奇平方测试来评估算法生成的类别与参与者选择之间的关联,并确定人口统计差异.

主要成果:

  • 46%的样本使用了扩展的响应选项 (例如,多重选择,写入),否则无法分析.
  • 该算法成功将参与者分为五个类别,显示出高一致性 (97-99%) 与单一类别的选择,除了性别扩展型个体 (74.3%).
  • 该算法显示与参与者选择的类别有显著的关系 (χ2 [20] = 19,000,p < .001).

结论:

  • 开发的算法有效地结合了扩展的性别认同反应,防止数据丢失,提高SGM研究的包容性.
  • 这种自动化方法通过从复杂的性别身份数据中创建有意义的,可分析的类别来增强统计能力.
  • 该算法提供了一种强大的方法,用于在多样化的SGM人群中对性别认同进行分类.