Previous research has found that Japanese people make relatively critical appraisals of themselves while their appraisals of others are relatively flattering. In order to find the conditions under which these two evaluation biases occur, 144 Japanese undergraduates were first asked to list ten attributes of theirs and then to rate the desirability of possessing each of them (self judgment). Next, someone else in the same class rated the desirability of each (other judgment). Subsequently, all the attributes generated in the study were shown to a separate group of students, who rated general desirability of possessing each of the attributes (consensual judgment). Results showed that relative to consensual judgment, self-judgment was lower (self-criticism), but other judgment was no different for those attributes that were consensually negative. For those consensually positive, however, self judgment was no different from the consensual, but other judgment was higher (other-enhancement). Based on these findings, it was suggested that Japanese self-criticism operated in a relational self-improvement process whereby individuals sought to find and correct their shortcomings so as to meet socially shared standards of excellence.
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http://dx.doi.org/10.4992/jjpsy.72.195 | DOI Listing |
Sex Health
January 2025
School of Public Health, Faculty of Medicine, The University of Queensland, Brisbane, Qld, Australia.
Background The high prevalence of non-consensual sex, including physical force, verbal threats, intimidation, and/or verbal coercion and rape among university students, has prompted urgent calls for action from governments, statutory, and university bodies. This research aims to identify key factors students see as contributing to non-consensual sex with a view to developing effective strategies to address these issues. Methods An online cross-sectional survey was administered to 4291 university students attending universities in south-east Queensland, Australia.
View Article and Find Full Text PDFJMIR Med Inform
January 2025
School of Social Policy & Practice, University of Pennsylvania, Philadelphia, PA, United States.
Background: Prediction models have demonstrated a range of applications across medicine, including using electronic health record (EHR) data to identify hospital readmission and mortality risk. Large language models (LLMs) can transform unstructured EHR text into structured features, which can then be integrated into statistical prediction models, ensuring that the results are both clinically meaningful and interpretable.
Objective: This study aims to compare the classification decisions made by clinical experts with those generated by a state-of-the-art LLM, using terms extracted from a large EHR data set of individuals with mental health disorders seen in emergency departments (EDs).
Decision confidence plays a critical role in humans' ability to make adaptive decisions in a noisy perceptual world. Despite its importance, there is currently little consensus about the computations underlying confidence judgements in perceptual decisions. To better understand these mechanisms, we addressed the extent to which confidence is informed by a naturalistic prior distribution.
View Article and Find Full Text PDFCancers (Basel)
January 2025
Unit of Biostatistics, Epidemiology and Public Health, Department of Cardiac, Thoracic and Vascular Sciences, University of Padova, 35122 Padova, Italy.
: Pancreatic cancer is known for its poor prognosis. The most effective treatment combines surgery with peri-operative chemotherapy. Current prognostic tools are designed to predict patient outcomes and inform treatment decisions based on collected data.
View Article and Find Full Text PDFPLoS One
January 2025
Department of Psychiatry, Yale University School of Medicine, New Haven, Connecticut, United States of America.
Introduction: Insight in psychosis, defined as a patient's awareness and judgment of their mental illness, is a complex and evolving concept. Historically, the absence of insight was considered a defining characteristic of psychosis, but recent decades have seen the development of structured tools for its assessment. This systematic review aims to critically appraise the measurement properties of instruments used to assess insight in individuals with schizophrenia spectrum, bridging the gap between theoretical conceptualization and clinical practice.
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