How rising social inequality may be fueling public demands for increasingly harsh criminal justice policies.

Public support for harsh criminal justice policy remains relatively high, despite falling crime rates and increasing prison populations. In new research Carolyn Côté-Lussier finds that public anger toward crime and support for harsh criminal justice policy is linked to factors associated with social inequality. She recommends additional reforms to change people’s perceptions towards criminals and to promote alternatives to incarceration

The evil, poor, disliked and punished: criminal stereotypes and the effects of their cognitive, affective and behavioural outcomes on punitiveness toward crime

Why does the public so staunchly support harsh criminal justice policies when the social, fiscal and political costs are so great? Individuals in countries such as Canada, the UK and USA continue to want criminal offenders to receive stiffer sentences despite growing prison populations and some indication of lower crime rates (Cullen, Fisher & Applegate, 2000; Donohue, 2007; King, 2008; Raphael, 2009; Tseloni et al., 2010; Useem et al., 2003; Walmsley, 2009). Criminological research has identified cognitive and affective pathways that predict punitiveness toward crime, such as the judged wrongfulness and harmfulness of crime, and moral outrage (Carlsmith & Darley, 2008). The overall contribution of the five papers presented in this thesis is to identify the cognitive, affective and behavioural pathways that link social perception of criminals to punitiveness toward crime. Working at the intersection of social psychology and criminology, the thesis applies theoretical frameworks such as the Stereotype Content Model (Fiske, Cuddy, Glick & Xu, 2002) and Behaviour from Intergroup Affect and Stereotypes map (Cuddy, Fiske & Glick, 2007) to identify the functional relation between social perception and punitiveness. Using different methodologies and at different levels of analysis, this thesis provides strong evidence that the content of criminal stereotypes is associated with specific cognitive (e.g., perceiving crime as being more serious), affective (e.g., feeling anger and a lack of compassion) and behavioural (e.g., wanting to exclude and attack) responses. In turn, criminal stereotypes and their outcomes engender punitive intuitions, decisions and attitudes. These findings reconcile extant criminological research on punitiveness with social psychological research on the function of social stereotypes. This thesis also speaks more broadly to the association between punitiveness toward crime and basic social psychological processes related to interpersonal perception and relations. In this respect, this thesis makes a significant contribution to the study of punitiveness toward crime and has important social policy implications

Making teens feel safer at school could help improve their achievement

Classroom engagement is an important influence on how well students perform academically at school. In new research, Carolyn Côté-Lussier and Caroline Fitzpatrick find that how students engage in class can be affected by their environment – students who reported that they felt safer were more engaged . They write that teens might feel unsafe at school because of poverty at home, and if their school has a poor neighbourhood environment, such as a lack of green spaces

Lessons for 2016 from the smashup of the Second Party System and the War of the Whig succession.

The rise of Donald Trump has caused many to predict that the Republican Party as we know it is on the verge of self-destruction. But such party realignments are nothing new. In the first in a series of articles on political realignments, Walter Dean Burnham writes that conflicts between the states over slavery and immigration led to the “War of the Whig succession” of the late 1850s and the rise of the Know Nothing Party. What followed was the destabilization of the 2nd Party System, and the creation of the Republican Party

Corrigendum: Ready for kindergarten: Are intelligence skills enough?

No abstract available

On the Impact of Voice Anonymization on Speech-Based COVID-19 Detection

With advances seen in deep learning, voice-based applications are burgeoning, ranging from personal assistants, affective computing, to remote disease diagnostics. As the voice contains both linguistic and paralinguistic information (e.g., vocal pitch, intonation, speech rate, loudness), there is growing interest in voice anonymization to preserve speaker privacy and identity. Voice privacy challenges have emerged over the last few years and focus has been placed on removing speaker identity while keeping linguistic content intact. For affective computing and disease monitoring applications, however, the paralinguistic content may be more critical. Unfortunately, the effects that anonymization may have on these systems are still largely unknown. In this paper, we fill this gap and focus on one particular health monitoring application: speech-based COVID-19 diagnosis. We test two popular anonymization methods and their impact on five different state-of-the-art COVID-19 diagnostic systems using three public datasets. We validate the effectiveness of the anonymization methods, compare their computational complexity, and quantify the impact across different testing scenarios for both within- and across-dataset conditions. Lastly, we show the benefits of anonymization as a data augmentation tool to help recover some of the COVID-19 diagnostic accuracy loss seen with anonymized data.Comment: 11 pages, 10 figure

A child’s view: social and physical environmental features differentially predict parent and child perceived neighborhood safety

International audienceParent and child perceived neighborhood safety predicts child health outcomes such as sleep quality, asthma, physical activity, and psychological distress. Although previous studies identify environmental predictors of parent perceived safety, little is known about predictors of child perceived safety. This study aims to identify the social and physical environmental neighborhood features that predict child and parent perceived neighborhood safety and, simultaneously, to assess the association between child and parent perceptions. Data were from the QUebec Adipose and Lifestyle InvesTigation in Youth (QUALITY) cohort, an ongoing study of Caucasian children (aged 8-10 years) with a parental history of obesity, and their biological parents from Québec, Canada. Measures of social and physical neighborhood features were collected using a spatial data infrastructure and in-person audits. Structural equation modeling was used to test direct and indirect associations between neighborhood features, child and parent perceived safety. Results suggest that among children (N = 494), trees and lighting were positively associated with perceived neighborhood safety, whereas a high proportion of visible minorities was associated with poorer perceived safety. Parents' perceptions of safety were more strongly tied to indicators of disorder and a lack of community involvement, and to traffic. Child perceived safety was partly explained by parent perceived safety, suggesting moderate concordance between perceptions. Although associated with each other, parent and child perceived safety seemed to be determined by distinct environmental features. Though this study focused on determinants of child and parent perceived safety, future research investigating the impact of neighborhood safety on child health should consider both child and parent perspectives