Sisterhood and credible narratives: Gender-based ingroup bias in the asylum courtroom

IF 3.2 2区 社会学 Q1 SOCIOLOGY
Diego Vaes , Samantha Bielen , Peter Grajzl
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引用次数: 0

Abstract

Asylum processes are often portrayed as influenced by gender-related factors. However, empirically ascertaining gender effects in asylum decisions has proven challenging. We study the presence of gender-based ingroup bias, the tendency of decision-makers to treat individuals of their own gender differently, in granting international protection status. Investigating Belgian data on 23,248 asylum appeals in Dutch-language proceedings between 2007 and 2020, we find evidence of positive gender-based ingroup bias (preferential treatment of applicants of the same gender) in judicial decisions. Remarkably, this positive ingroup bias is exclusively due to the favorable treatment of female asylum seekers by female judges. We find no evidence of preferential treatment of male applicants by male judges. Upon generating a machine-learning summary of the content of the verdict texts, we further show that the positive gender-based ingroup bias manifests most prominently when case circumstances require judges to pay particular attention to the credibility of the asylum seeker's narrative, that is, when the scope for judicial discretion is comparatively greatest. Our analysis therefore reveals a hitherto unexplored consequence of credibility considerations in asylum decision-making.
姐妹情谊与可信叙述:庇护法庭中基于性别的群体偏见
庇护程序常常被描述为受到与性别有关的因素的影响。然而,从经验上确定庇护决定中的性别影响已被证明具有挑战性。我们研究了基于性别的内群体偏见的存在,即决策者在授予国际保护地位时对与自己性别不同的个体的倾向。我们调查了比利时2007年至2020年期间以荷兰语审理的23248宗庇护上诉的数据,发现司法裁决中存在基于性别的积极群体偏见(对同性申请人的优先待遇)的证据。值得注意的是,这种积极的内团体偏见完全是由于女性法官对女性寻求庇护者的优待。我们没有发现男性法官对男性申请人给予优待的证据。在生成判决文本内容的机器学习摘要后,我们进一步表明,当案件情况要求法官特别注意寻求庇护者叙述的可信度时,也就是说,当司法自由裁量权的范围相对最大时,基于性别的积极内群体偏见表现得最为突出。因此,我们的分析揭示了在庇护决策中考虑可信度的一个迄今未被探索的后果。
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来源期刊
CiteScore
4.30
自引率
4.00%
发文量
0
审稿时长
65 days
期刊介绍: Social Science Research publishes papers devoted to quantitative social science research and methodology. The journal features articles that illustrate the use of quantitative methods in the empirical solution of substantive problems, and emphasizes those concerned with issues or methods that cut across traditional disciplinary lines. Special attention is given to methods that have been used by only one particular social science discipline, but that may have application to a broader range of areas.
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