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Edinburgh Postnatal Depression Scale (EPDS) for screening for depression in the first year post delivery in a low-resourced rural setting in Kenya ...
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Edinburgh Postnatal Depression Scale (EPDS) for screening for depression in the first year post delivery in a low-resourced rural setting in Kenya ...
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Cognitive-Affective Styles of Biden and Trump Supporters: An Automated Text Analysis Study ...
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Cognitive-Affective Styles of Biden and Trump Supporters: An Automated Text Analysis Study ...
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The impact of time of entrance to center-based care on children’s general, language, and behavioral development ...
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The impact of time of entrance to center-based care on children’s general, language, and behavioral development ...
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Measuring interest in early childhood – a validation of various measures of interest in young children ...
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Investigating cross situational word learning via social-communicative cues and non-social salient cues in neurotypical adults and adults with autism ...
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Supplemental Materials from Long-range sequential dependencies precede complex syntactic production in language acquisition ...
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Supplemental Materials from Long-range sequential dependencies precede complex syntactic production in language acquisition ...
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The Effect of Self-Distancing on Emotion Regulation and Autobiographical Remembering ...
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Finding the best way to put media bias research into practice via an annotation app ...
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Do Chimpanzees Reason According to the Disjunctive Syllogism? ...
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Labour market discrimination and biases in human judgement and Artificial Intelligence ...
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Abstract:
Racial discrimination in labour market experiments demonstrate a preference for names commonly associated with White candidates over other ethnicities, such as African American (Bertrand & Mullainathan, 2004). These experiments typically involve near identical resumes being sent in field trials to job advertisements, but with different names attached. These field experiments demonstrate a bias in human decision-making concerning racial preferences that has been replicated numerous times (Nunley, Pugh, Romero and Seals, 2015). At the same time, there have been advances in computational linguistics where researchers have demonstrated multiple instances of machine learning and artificial intelligence systems demonstrate learnt "biases" predicated on written texts. In these outputs, the systems generate similar biases as observed within human judgements, for example, predictive policy systems have demonstrated the potential to get caught in positive feedback loops to over-police certain areas with higher ...
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Keyword:
Bias; Biases; Computational linguistics; Discrimination; Economics; FOS Psychology; Human judgements; Judgement and decision-making; Labour markets; Machine Learning; Psychology; Social and Behavioral Sciences
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URL: https://osf.io/dneup/ https://dx.doi.org/10.17605/osf.io/dneup
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Experiment 2: Jury Suggestibility: The Effect of Judicial Instruction on Juror’s use of Covert Recording Transcripts ...
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Isolating the locus of informational interference during speech-in-noise perception: the role of temporal predictability ...
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#Bittersweet: Positive, negative, and mixed emotions in twitter posts ...
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Are neural language models sensitive to false belief? A computational study. ...
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