Suppr超能文献

研究生招生中的性别偏见:来自伯克利的数据。

Sex bias in graduate admissions: data from berkeley.

出版信息

Science. 1975 Feb 7;187(4175):398-404. doi: 10.1126/science.187.4175.398.

Abstract

Examination of aggregate data on graduate admissions to the University of California, Berkeley, for fall 1973 shows a clear but misleading pattern of bias against female applicants. Examination of the disaggregated data reveals few decision-making units that show statistically significant departures from expected frequencies of female admissions, and about as many units appear to favor women as to favor men. If the data are properly pooled, taking into account the autonomy of departmental decision making, thus correcting for the tendency of women to apply to graduate departments that are more difficult for applicants of either sex to enter, there is a small but statistically significant bias in favor of women. The graduate departments that are easier to enter tend to be those that require more mathematics in the undergraduate preparatory curriculum. The bias in the aggregated data stems not from any pattern of discrimination on the part of admissions committees, which seem quite fair on the whole, but apparently from prior screening at earlier levels of the educational system. Women are shunted by their socialization and education toward fields of graduate study that are generally more crowded, less productive of completed degrees, and less well funded, and that frequently offer poorer professional employment prospects.

摘要

对 1973 年秋季加利福尼亚大学伯克利分校研究生招生的综合数据进行考察,表明存在一种明显但具有误导性的偏见模式,即对女性申请者不利。对细分数据的考察表明,很少有决策单元显示出与女性入学预期频率有统计学意义的偏差,而且似乎有同样多的单元倾向于女性,也有同样多的单元倾向于男性。如果数据经过适当的汇总,考虑到部门决策的自主性,从而纠正女性倾向于申请对任何性别申请者都较难进入的研究生部门的倾向,那么就存在一个有利于女性的微小但具有统计学意义的偏差。较容易进入的研究生部门往往是那些在本科预备课程中需要更多数学的部门。综合数据中的偏差并非源于招生委员会的任何歧视模式,从整体上看,招生委员会相当公平,而是显然源于教育系统早期阶段的预先筛选。女性由于社会化和教育的影响,被推向研究生学习领域,这些领域通常更加拥挤,完成学位的比例较低,资金较少,而且通常提供较差的专业就业前景。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验