Saribay S Adil, Pokorný Šimon, Tureček Petr, Kleisner Karel
Kadir Has University, Istanbul, Turkey.
Charles University, Prague, Czech Republic.
Br J Psychol. 2025 Feb;116(1):269-286. doi: 10.1111/bjop.12738. Epub 2024 Sep 30.
Human migration is an increasingly common phenomenon and migrants are at risk of disadvantageous treatment. We reasoned that migrants may receive differential treatment by locals based on the closeness of their facial features to the host average. Residents of Türkiye, the country with the largest number of refugees currently, served as participants. Because many of these refugees are of Arabic origin, we created target facial stimuli varying along the axis connecting Turkish and Arabic morphological prototypes (excluding skin colour) computed using geometric morphometrics and available databases. Participants made judgements of two universal dimensions of social perception-warmth and competence-on these faces. We predicted that participants judging faces manipulated towards the Turkish average would provide higher warmth and competence ratings compared to judging the same faces manipulated towards the Arabic average. Bayesian statistical tools were employed to estimate parameter values in multilevel models with intercorrelated varying effects. The findings did not support the prediction and revealed raters (as well as target faces) to be an important source of variation in social judgements. In the absence of simple cues (e.g. skin colour, group labels), the effect of facial morphology on social judgements may be much more complex than previously assumed.
人口迁移是一种日益常见的现象，移民面临着受到不公平对待的风险。我们推断，移民可能会因其面部特征与东道国平均水平的接近程度而受到当地人的差别对待。目前拥有难民数量最多的国家土耳其的居民作为参与者。由于这些难民中有许多是阿拉伯裔，我们利用几何形态测量学和现有数据库，创建了沿连接土耳其和阿拉伯形态原型（不包括肤色）的轴变化的目标面部刺激。参与者对这些面孔的社会认知的两个普遍维度——热情和能力——进行了判断。我们预测，与判断朝着阿拉伯平均水平调整的相同面孔相比，判断朝着土耳其平均水平调整的面孔的参与者会给出更高的热情和能力评分。我们使用贝叶斯统计工具来估计具有相互关联的变化效应的多层次模型中的参数值。研究结果不支持这一预测，并揭示了评分者（以及目标面孔）是社会判断中一个重要的变异来源。在没有简单线索（如肤色、群体标签）的情况下，面部形态对社会判断的影响可能比之前假设的要复杂得多。
