开源软件开发中的性别歧视行为
Gendered behavior as a disadvantage in open source software development
摘要：
妇女在软件开发中被严重边缘化，特别是在开源领域。在这篇文章中，我们认为，劣势更多的是由于性别行为，而不是分类歧视：妇女处于不利地位，因为他们做什么，而不是因为他们是谁。使用来自GitHub.com的用户整个职业生涯的数据，我们开发了一种测量方法来捕获性别行为模式：我们使用随机森林预测女性（而不是男性），通过活动水平的行为选择，程序设计语言的专业化以及合作伙伴的选择。我们测试的差异，成功和生存沿分类性别和性别的行为模式。我们发现，84.5%的女性在成功方面的劣势（与男性相比）和34.8%的女性在生存方面的劣势是由于女性的行为模式。男性在其行为模式的女性四分位数范围内也处于不利地位，而不透露性别的用户在生存概率上遭受更大的劣势。此外，我们没有看到这些不平等在时间上有任何减少的证据。我们的研究结果对性别识别中的噪音，以及考虑到特定的程序设计语言或性别行为的决策树类具有鲁棒性。我们的研究结果表明，打击绝对性别歧视对开源软件开发中的性别不平等影响有限，性别隐藏对女性来说不是一个可行的策略。
英文摘要：
Women are severely marginalized in software development, especially in open source. In this article we argue that disadvantage is more due to gendered behavior than to categorical discrimination: women are at a disadvantage because of what they do, rather than because of who they are. Using data on entire careers of users from GitHub.com, we develop a measure to capture the gendered pattern of behavior: We use a random forest prediction of being female (as opposed to being male) by behavioral choices in the level of activity, specialization in programming languages, and choice of partners. We test differences in success and survival along both categorical gender and the gendered pattern of behavior. We find that 84.5% of women's disadvantage (compared to men) in success and 34.8% of their disadvantage in survival are due to the female pattern of their behavior. Men are also disadvantaged along their interquartile range of the female pattern of their behavior, and users who don't reveal their gender suffer an even more drastic disadvantage in survival probability. Moreover, we do not see evidence for any reduction of these inequalities in time. Our findings are robust to noise in gender recognition, and to taking into account particular programming languages, or decision tree classes of gendered behavior. Our results suggest that fighting categorical gender discrimination will have a limited impact on gender inequalities in open source software development, and that gender hiding is not a viable strategy for women.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
