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We test the proposition that criminal sentiments, which we define as a negative and potent view of a juvenile delinquent (JD), moderate the effect of a delinquency adjudication on self-sentiments. We expect criminal sentiments to reduce self-evaluation and increase self-potency among juvenile delinquents but have no effect on self-sentiments among non-delinquents. We also examine the construct validity of our measure of criminal sentiments by assessing its relationship to beliefs that most people devalue, discriminate against, and fear JDs.

We test these hypotheses with self-administered survey data from two samples of college students and one sample of youths in an aftercare program for delinquent youths. We use endogenous treatment-regression models to identify and reduce the effects of endogeneity between delinquency status and self-sentiments.

Our construct validity assessment shows, as expected, that criminal sentiments are positively related to beliefs that most people devalue, discriminate against, and fear JDs. Our focal analyses support our self-evaluation predictions but not our self-potency predictions.

Our findings suggest that the negative effect of a delinquency label on JDs’ self-esteem depends on the youths’ view of the delinquency label.

This study is the first to test a modified labeling theory proposition on juvenile delinquents.

We examine whether self-stigmatization may affect the everyday social interactions of individuals with a diagnosed, affective mental health disorder. Past research demonstrates self-stigmatization lowers self-esteem, efficacy, and personal agency, leading to the likely adoption of role-identities that are at the periphery of major social institutions. We advance research on self-stigma by examining the likely interactional and emotional consequences of enacting either a highly stigmatized self-identity or a weakly stigmatized self-identity.

Using affect control theory (ACT), we form predictions related to the interactional and emotional consequences of self-stigmatization. We use the Indianapolis Mental Health Study and Interact, a computerized instantiation of ACT, to generate empirically based simulation results for patients with an affective disorder (e.g., major depression and bipolar disorder), comparing simulations where the focal actor is a person with a mental illness who exhibits either high or low levels of self-stigma.

Self-stigma is predicted to negatively influence patients’ behavioral expression, leading the highly self-stigmatized to enact behaviors that are lower in goodness, power, and liveliness than the weakly self-stigmatized. Their corresponding emotional expressions during these types of interactions are similarly negatively impacted. Even though these likely interactions are the most confirmatory for people with high levels of self-stigma, they lead to interactions that are behaviorally and emotionally more negative than those who have been better able to resist internalizing stigmatizing beliefs.

This piece has implications for the literature on the interactional and life course challenges faced by psychiatric patients and contributes to the self-stigma literature more broadly. This work will hopefully inform future research involving the collection of non-simulation-based data on the everyday interactional experiences of people with mental health problems.

We argue that self-stigma places patients on a path of marginalization throughout their life course leading to a negative cycle of opportunity and advancement. Mental health patients with higher levels of self-stigma tend to have much lower self-esteem, efficacy, and personal agency; therefore, they will be more inclined to adopt role-identities at the periphery of major social institutions, like those of work, family, and academia. Similarly, the emotions felt when enacting such roles may be similarly dampened.

Utilizing principles from affect control theory (ACT) and the affect control theory of selves (ACTS), we generate predictions related to self-stigmatized patients’ role-identity adoption and emotions. We use the Indianapolis Mental Health Study and Interact, a computerized version of ACT and ACTS, to generate empirically based simulation results for patients with an affective disorder (e.g., major depression and bipolar disorder) with comparably high or low levels of self-stigmatization.

Self-stigma among affective patients reduces the tendency to adopt major life course identities. Self-stigma also affects patients’ emotional expression by compelling patients to seek out interactions that make them feel anxious or affectively neutral.

This piece has implications for the self-stigma and stigma literatures. It is also one of the first pieces to utilize ACTS, thereby offering a new framework for understanding the self-stigma process. We offer new hypotheses for future research to test with non-simulation-based data and suggest some policy implications.

We examine the effect of an offender’s occupational status on criminal sentencing recommendations using a vignette experiment that crosses the offender’s occupational status (white-collar vs blue- or pink-collar) and the crime label, with one label (overcharging) associated with white-collar offenders and the other (robbery) associated with lower-status offenders. We expect negative and potent post-crime impressions of the offender and the crime to increase perceptions of criminality and, in turn, the recommended sentence. We term these negative and potent impressions “criminality scores.” Drawing on affect control theory (ACT) impression formation equations, we generate criminality scores for the offenders and the crimes in each condition and, using those scores as a guide, predict that white-collar offenders and offenders described as “robbing” will receive a higher recommended sentence. We also expect eight perceptual factors central to theories of judicial sentencing mediate these relationships.

We test these hypotheses with a vignette experiment, administered to female university students, that varies a male offender’s occupation and the word used to describe his crime.

Consistent with our ACT-derived predictions, white-collar offenders and offenders described as robbing received a higher recommended sentence. But, contrary to predictions, only one perceptual factor, crime seriousness, mediated these effects, and the mediation was partial.

Our findings suggest the perpetrator’s post-crime appearance of negativity and power offer a valuable supplement to theories of judicial sentencing.

This study is the first to test the hypothesis that sentencing disparities may be due to the way the perpetrators’ sociodemographic attributes shape their post-crime appearance of negativity and power.

Purpose – This chapter explores which factors women see as limiting their ability to achieve preferred traditional and egalitarian gender roles.Design/methodology/approach – Data from 25 in-depth interviews and questionnaires with Black and White wives in same-race and interracial Black/White marriages are used. Analysis relies on an intersectional framework to illustrate how gendered power, race, and resources create obstacles in realizing gender ideology.Findings – Wives who were unable to fulfill egalitarian ideals faced gendered power issues. Wives who desired “traditional” gender roles encountered structural limitations related to class position and racial discrimination in the workplace.Research limitations – This study is limited to the perspectives of Black and White women living in the Atlanta, GA metropolitan area. Future research should look further at how socialization that gives men greater power than women affects intimate relationships while taking into account how the experiences of gender are influenced by other aspects of status, including class, race, and location.Originality/value – Findings from this study add to sociological knowledge of gender by conveying the intersectional nature of race, class, and gender in the family and by further illustrating the importance of applying theories of intersectionality to empirical research in this area.