Beyond the incident: Influences on the perception of multiple instances of discrimination.

This article seeks to enhance the theoretical understanding of discrimination perception, especially in contexts with relevant statistical information. Previous research has provided important insights into the perception of single, ambiguous instances of discrimination. However, the generalizability of these insights to scenarios involving multiple, repeated instances of discrimination remains unclear. The current research aims to reduce this uncertainty by investigating whether three key determinants of discrimination perception in single instances - perpetrators' prototypicality, victims' control, and system-justifying beliefs (SJB) - also influence observers' perceptions of repeated discrimination. In Experiments 1 and 2, participants perceived stronger discrimination when perpetrators were prejudiced members of the advantaged group. In Experiments 3 and 4, perceived discrimination intensified when victims had low control, a trend significantly noted in tabular presentations but not in sequential ones. In Experiments 5 and 6, a negative correlation between SJB and discrimination perception was observed. The theoretical and practical implications of these results, as well as open questions, are discussed. Overall, these studies advance our knowledge of discrimination perception in multiple instances. They highlight the intricate interplay between statistical data, moral judgements, and individual belief systems, paving the way for a more nuanced exploration of the underlying psychological processes of discrimination perception.

Disparities in Access to Primary Care Appointments Among Asian American Subgroups, and the Impact of Concordance.

While Asian Americans experience disparate access to health services, little is known about the extent to which providers discriminate against Asian American patients. Further, research on Asian American health disparities tends to group Asian American ethnicities together, overlooking potential within-group differences. We deployed a field experiment to assess whether Asian American ethnic sub-groups experience discrimination in appointment scheduling. We further explored the impact of racial concordance between Asian patients and physicians. Overall, we did not detect significant differences in appointment offer rates between White and Asian American patients. However, we found that Asian Americans experienced longer wait times driven primarily by the treatment of patients of Chinese and Korean descent. Physician offices, surprisingly, offered concordant Asian patients appointments at significantly lower rates. The disparities Asian Americans experience relative to White Americans through longer waits for primary care appointments are not consistent across sub-groups. Increased attention to the unique experiences of people of Asian descent in accessing health services is warranted.

Discordance between hemodialysis patients' reports and their physicians' estimates of adherence to dietary restrictions in Japan.

INTRODUCTION: This study examined the discordance between hemodialysis patients' reports and their physicians' estimates of dietary restriction adherence and related factors in Japan. METHODS: In a cross-sectional survey of 6644 outpatients, physicians who estimated higher and lower adherence than their patients' self-reported were categorized as overestimation and underestimation in terms of discordance, respectively. Possible factors included clinical indicators, patient characteristics related to negative stereotypes, and health beliefs related to statistical discrimination. RESULTS: The concordance rate was 0.069 based on the weighted kappa coefficient. The coefficients of acceptable serum potassium, prevalence of diabetes, and self-efficacy on overestimates were 0.663, -0.126, and -0.132, respectively. The coefficients of these factors on underestimates were -0.589, 0.338, and 0.145, respectively. All these coefficients were significant. CONCLUSIONS: The discordance may be high and is related to physicians' clinical data reliance, negative stereotypes about patient characteristics, and a lack of understanding of patients' health beliefs.

As if it weren't hard enough already: Breaking down hiring discrimination following burnout.

Hiring discrimination towards (former) burnout patients has been extensively documented in the literature. To tackle this problem, it is important to understand the underlying mechanisms of such unequal hiring opportunities. Therefore, we conducted a vignette experiment with 425 genuine recruiters and jointly tested the potential stigma against job candidates with a history of burnout that were mentioned earlier in the literature. We found candidates revealing a history of burnout elicit perceptions of requiring work adaptations, likely having more unpleasant collaborations with others as well as diminished health, autonomy, ability to work under pressure, leadership capacity, manageability, and learning ability, when compared to candidates with a comparable gap in working history due to physical injury. Led by perceptions of a reduced ability to work under pressure, the tested perceptions jointly explained over 90 % of the effect of revealing burnout on the probability of being invited to a job interview. In addition, the negative effect on interview probability of revealing burnout was stronger when the job vacancy required higher stress tolerance. In contrast, the negative impact of revealing burnout on interview probability appeared weaker when recruiters were women and when recruiters had previously had personal encounters with burnout.

Mediators of Discrimination in Primary Care Appointment Access.

We examine how differences in questions asked and information provided by physicians' offices contribute to differences in new-patient appointment offers. Data is from a 2013-16 field experiment involving calls to a random sample of US primary care physicians on behalf of simulated new patients differentiated by race/ethnicity (Black, Hispanic, White), sex, and insurance. We find that the rates and stated reasons for denial of appointment offers differ substantially across patient groups.

Curve-Based Classification Approach for Hyperspectral Dermatologic Data Processing.

This paper shows new contributions in the detection of skin cancer, where we present the use of a customized hyperspectral system that captures images in the spectral range from 450 to 950 nm. By choosing a 7 × 7 sub-image of each channel in the hyperspectral image (HSI) and then taking the mean and standard deviation of these sub-images, we were able to make fits of the resulting curves. These fitted curves had certain characteristics, which then served as a basis of classification. The most distinct fit was for the melanoma pigmented skin lesions (PSLs), which is also the most aggressive malignant cancer. Furthermore, we were able to classify the other PSLs in malignant and benign classes. This gives us a rather complete classification method for PSLs with a novel perspective of the classification procedure by exploiting the variability of each channel in the HSI.

Is there evidence for statistical discrimination against ethnic minorities in hiring? Evidence from a cross-national field experiment.

While statistical discrimination theory is often proposed as an important explanation for ethnic discrimination in hiring, research that empirically scrutinizes its underlying assumptions is scant. To test these assumptions, we combine data from a cross-national field experiment with secondary data indicative of the average labor productivity of ethnic communities. We find little evidence that adding diagnostic personal information reduces discrimination against ethnic minorities. Furthermore, we do not find an association between language similarity or the socioeconomic resources of the ethnic community and hiring discrimination. However, our findings show that discrimination is related to the socioeconomic development of the country of ancestry. Finally, the impact of these indicators of group productivity is generally not moderated by the amount of diagnostic personal information. Taken together, these findings question several core assumptions of statistical discrimination theory.

Broadening the Use of the Concealed Information Test in the Field.

Japan is the only country where the polygraph with the concealed information test (CIT) is widely applied to criminal investigations. The CIT can reveal whether an examinee has knowledge of specific details of a crime. Furthermore, the CIT can extract crime-relevant information that investigative organizations have not yet uncovered. This article introduces how Japanese polygraphers take advantage of the CIT in criminal investigations. We also describe how polygraphs with the CIT are currently used in court. Then we propose statistical discrimination methods that can be easily applied to CIT interpretation in the field. Appropriate application of the statistical values is discussed. We hope that this article will facilitate more active use of the CIT outside Japan.

Detection of Foodborne Pathogens Using Proteomics and Metabolomics-Based Approaches.

Considering the short shelf-life of certain food products such as red meat, there is a need for rapid and cost-effective methods for pathogen detection. Routine pathogen testing in food laboratories mostly relies on conventional microbiological methods which involve the use of multiple selective culture media and long incubation periods, often taking up to 7 days for confirmed identifications. The current study investigated the application of omics-based approaches, proteomics using matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-ToF MS) and metabolomics using gas chromatography-mass spectrometry (GC-MS), for detection of three red meat pathogens - Listeria monocytogenes, Salmonella enterica and Escherichia coli O157:H7. Species-level identification was achieved within 18 h for S. enterica and E. coli O157:H7 and 30 h for L. monocytogenes using MALDI-ToF MS analysis. For the metabolomics approach, metabolites were extracted directly from selective enrichment broth samples containing spiked meat samples (obviating the need for culturing on solid media) and data obtained using GC-MS were analyzed using chemometric methods. Putative biomarkers relating to L. monocytogenes, S. enterica and E. coli O157:H7 were observed within 24, 18, and 12 h, respectively, of inoculating meat samples. Many of the identified metabolites were sugars, fatty acids, amino acids, nucleosides and organic acids. Secondary metabolites such as cadaverine, hydroxymelatonin and 3,4-dihydroxymadelic acid were also observed. The results obtained in this study will assist in the future development of rapid diagnostic tests for these important foodborne pathogens.

Hiring a Gay Man, Taking a Risk?: A Lab Experiment on Employment Discrimination and Risk Aversion.

We investigate risk aversion as a driver of labor market discrimination against homosexual men. We show that more hiring discrimination by more risk-averse employers is consistent with taste-based and statistical discrimination. To test this hypothesis we conduct a scenario experiment in which experimental employers take a fictitious hiring decision concerning a heterosexual or homosexual male job candidate. In addition, participants are surveyed on their risk aversion and other characteristics that might correlate with this risk aversion. Analysis of the (post-)experimental data confirms our hypothesis. The likelihood of a beneficial hiring decision for homosexual male candidates decreases by 31.7% when employers are a standard deviation more risk-averse.

Body mass and wages: New evidence from quantile estimation.

I estimate the effect of body mass index (BMI) on wages across the unconditional distribution of wages. I find that for whites and Hispanics the effect of BMI is generally decreasing across the wage distribution; at the .9 quantile of the wage distribution, a two standard deviation increase in BMI reduces wages by 8% for white males, 13% for white females, 9% for Hispanic males, and 16% for Hispanic females. Conversely, at the .1 quantile, a two standard deviation increase in BMI affects wages by less than 2% for all these groups. For black males, the effect of BMI is positive, and either increasing or non-linear in wages. For black females, the estimates tend to be more uniform across the wage distribution. I discuss possible explanations for these inter-quantile differences including preference discrimination, productivity differences, and statistical discrimination. The results point to a new explanation for the observed correlation between socioeconomic status and body weight: individuals with higher income earning potential have differential incentives to maintain a lower BMI.

Refusing to Treat Sexual Dysfunction in Sex Offenders.

This article examines one kind of conscientious refusal: the refusal of healthcare professionals to treat sexual dysfunction in individuals with a history of sexual offending. According to what I call the orthodoxy, such refusal is invariably impermissible, whereas at least one other kind of conscientious refusal-refusal to offer abortion services-is not. I seek to put pressure on the orthodoxy by (1) motivating the view that either both kinds of conscientious refusal are permissible or neither is, and (2) critiquing two attempts to buttress it.

Height, weight, and entry earnings of female graduates in Taiwan.

Using a data set of Taiwanese female graduates in 2006, this study finds that height and earnings are positively correlated for full-time workers. However, it is not because tall individuals went to better colleges or received better grades (cognitive ability), not because they are gifted with superior physical strength or because they have participated in more extracurricular activities (non-cognitive ability), and not because they work in a highly paid occupation. We find that statistical discrimination (or perceptual bias) is most likely to play a role in determining the entry earnings of female graduates. In addition, we find that an estimator of the height premium for females is downward-biased if weight is omitted from the model.