Brain potentials reflect violations of gender stereotypes
By Lee Osterhout, Michael Bersick, Judith Mclaughlin. 1997
Subfields: Neuroscience
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Citations in the corpus
- Toward Gender-Inclusive Coreference Resolution (2019, background): “Osterhout et al. [1997] found ERP violations of the P600 type for violations of social gender stereotypes.”
- The time-course of the application of binding constraints in reference resolution (2003, background): “Previous work by Carreiras, Garnham, Oakhill, and Cain (1996) and Osterhout, Bersick, and McLaughlin (1997) shows that gender stereotype violations are quickly detected, and cause disruption when a mismatching anaphor is processed.”
- An fMRI study of violations of social expectations: When people are not who we expect them to be (2011, unknown): “Furthermore, with the help of EEG, the neural operations underlying the processing of words or sentences that are either congruent or incongruent in terms of gender stereotypes have been studied (Osterhout et al., 1997; White et al., 2009).”
- Isolating stereotypical gender in a grammatical gender language: Evidence from eye movements (2014, background): “Evidence for gender stereotype effects on anaphor resolution also comes from event-related potentials data in Osterhout, Bersick, and McLaughlin (1997).”
- Semantics and the electrophysiology of meaning: Tense, aspect, event structure (2004, background): “A number of studies have reported negative shifts in the ERPs in response to sentence-final words in syntactically ill-formed sentences, even when the anomalous word does not occupy the sentence-final position [151, 78, 152, 153, 139, 149, 150].”
- Gender Stereotypes in the Family Context: Mothers, Fathers, and Siblings (2013, result): “1995), whereas others found that men had stronger attitudes about gender than women (Burge 1981; Jessel and Beymer 1992), or women had stronger gender-related stereotypes than men (Osterhout et al. 1997).”
- Toward Gender-Inclusive Coreference Resolution: An Analysis of Gender and Bias Throughout the Machine Learning Lifecycle* (2021, background): “Osterhout, Bersick, and McLaughlin (1997) found ERP violations of the P600 type for violations of social gender stereotypes.”