Researcher: Bozkurt, Ozancan
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Bozkurt, Ozancan
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Publication Metadata only Care and capitalism(Sage Publications Inc, 2022) N/A; Bozkurt, Ozancan; Master Student; Graduate School of Social Sciences and Humanities; N/AN/APublication Metadata only The social model of disability in India: politics of identity and power(Sage, 2022) N/A; Bozkurt, Ozancan; Master Student; Graduate School of Social Sciences and Humanities; N/AN/APublication Metadata only A historical sociology of disability: human validity and invalidity from antiquity to early modernity(Sage Publications India Pvt Ltd, 2022) N/A; Bozkurt, Ozancan; Master Student; Graduate School of Social Sciences and Humanities; N/AN/APublication Metadata only Sovereignty suspended: building the so-called state(Cambridge Univ Press, 2022) N/A; Bozkurt, Ozancan; Master Student; Graduate School of Social Sciences and Humanities; N/AThe literature on narcissism suggests two contradictory ways how highly narcissistic individuals deal with their failures: They might avoid consciously recognising their failures to protect their ego or they might vigilantly turn towards their failures to process cues that are important for maintaining their grandiosity. We tried to dissolve these contradictory positions by studying event-related potential components of error processing and their variations with narcissism. With a speeded go/no-go task, we examined how the error-related negativity (Ne; reflecting an early, automatic processing stage) and the error positivity (Pe; associated with conscious error detection) vary with Admiration and Rivalry, two narcissism dimensions, under ego-threatening conditions. Using multilevel models, we showed that participants with high Rivalry displayed higher Ne amplitudes suggesting a heightened trait of defensive reactivity. We did not find variations of either narcissism dimension with the Pe, which would have pointed to weaker error awareness. Thus, our results only supported the second position: a heightened vigilance to errors in narcissism at early, rather automatic processing stages.