The Roots of Prison Violence: A Test of the Deprivation, Management, and “Not-So-Total” Institution Models

1995 ◽  
Vol 41 (3) ◽  
pp. 317-331 ◽  
Author(s):  
Richard C. McCorkle ◽  
Terance D. Miethe ◽  
Kriss A. Drass
Keyword(s):  
Public Policy ◽  
Large Scale ◽  
Total Institution ◽  
Collective Violence ◽  
Environmental Determinants ◽  
Prison Violence ◽  
Prison Management ◽  
Individual Level ◽  
State Prisons ◽  
Prison Riots

Studies of prison violence typically focus either on individual-level aggression or large-scale collective acts. Most past work consists of case studies, limiting the generalizations from the results. The present study used data from 371 state prisons and measures of both individual and collective violence and attempted to identify the structural, managerial, and environmental determinants of prison disorder. Findings suggest that poor prison management is a predictor of rates of assault toward inmates and staff. However, the likelihood of prison riots is largely independent of structural, managerial, and environmental factors. The article also discusses the implications for public policy.

Digital Mega-Studies as a New Research Paradigm: Governing the Health Research of the Future

2021 ◽  
pp. 155626462110414
Author(s):  
Jessica Bell ◽  
Megan Prictor ◽  
Lauren Davenport ◽  
Lynda O’Brien ◽  
Melissa Wake
Keyword(s):  
Large Scale ◽  
Group Processes ◽  
Research Paradigm ◽  
Multiple Sources ◽  
Individual Level ◽  
Key Characteristics ◽  
Governance Challenges ◽  
Technological Developments ◽  
Multi Stakeholder ◽  
New Research

‘Digital Mega-Studies’ are entirely or extensively digitised, longitudinal, population-scale initiatives, collecting, storing, and making available individual-level research data of different types and from multiple sources, shaped by technological developments and unforeseeable risks over time. The Australian ‘Gen V’ project exemplifies this new research paradigm. In 2019, we undertook a multidisciplinary, multi-stakeholder process to map Digital Mega-Studies’ key characteristics, legal and governance challenges and likely solutions. We conducted large and small group processes within a one-day symposium and directed online synthesis and group prioritisation over subsequent weeks. We present our methods (including elicitation, affinity mapping and prioritisation processes) and findings, proposing six priority governance principles across three areas—data, participation, trust—to support future high-quality, large-scale digital research in health.

Stimulating the Development of "Greening" of Ukrainian Industry

2021 ◽  
pp. 55-67
Author(s):  
Ella Sheludko ◽  
◽  
Mariia Zavgorodnia ◽  
Keyword(s):  
Public Policy ◽  
Large Scale ◽  
Industrial Enterprises ◽  
Valuation Method ◽  
Circular Model ◽  
Analysis And Synthesis ◽  
Logical Method ◽  
Modern Economic ◽  
The Relationship ◽  
Further Development

The object of this study is the further development of eco-innovations for the rise of industry and the economy. Emphasis is placed on the growing relevance of "green" incentives in line with climate challenges, the economical use of natural resources, as well as the need for a systematic vision of environmental issues and the implementation of international requirements. The study is based on the work of foreign scientists, international rankings and world best practices for the introduction of modern economic mechanisms of state incentives for greening the economy, green modernization, the transition to a circular model of the economy. There is a difference in the implementation of environmental policy - some local projects in Ukraine and the European approach - with the assessment of eco-innovation, systemic change, the formation of ecosystems, scaling technological solutions. The main methods used in the study are: methods of system-structural analysis, analysis and synthesis, grouping - for preliminary analysis and selection of appropriate tools in the study of the implementation of eco-innovation in Ukraine and EU countries; index valuation method and method of comparative analysis - used in the analysis of public policy to stimulate the company to "green" growth; abstract-logical method - used to establish the relationship between the need to introduce new instruments of public policy in the environmental sphere with elements of large-scale reform in the context of climate modernization of industry and to form a systematic vision of major achievements in implementing international requirements for eco-modernization of industrial enterprises. The paper analyzes the forms of international assistance that can compensate for the lack of available financial resources for the purposes of green modernization of the economy in conditions of limited financial capabilities of the state, intensification of competition for European and international environmental investments. The obtained result - a set of possible tools to stimulate Ukrainian industry - allows more systematic implementation of "greening" of Ukrainian industry, and their implementation and combination in a specific mechanism will determine the success of an industrial socially-oriented economy.

scholarly journals Differentiating amyloid beta spread in autosomal dominant and sporadic Alzheimer's disease

2021 ◽  
Author(s):  
Elizabeth Levitis ◽  
Jacob W Vogel ◽  
Thomas Funck ◽  
Vladimir Halchinski ◽  
Serge Gauthier ◽  
...  
Keyword(s):  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Spatial Pattern ◽  
Amyloid Beta ◽  
Large Scale ◽  
Autosomal Dominant ◽  
Model Performance ◽  
Sporadic Alzheimer’S Disease ◽  
Individual Level ◽  
Data Driven Approach

Amyloid-beta (Aβ) deposition is one of the hallmark pathologies in both sporadic Alzheimer's disease (sAD) and autosomal dominant Alzheimer's disease (ADAD), the latter of which is caused by mutations in genes involved in Aβ processing. Despite Aβ deposition being a centerpiece to both sAD and ADAD, some differences between these AD subtypes have been observed with respect to the spatial pattern of Aβ. Previous work has shown that the spatial pattern of Aβ in individuals spanning the sAD spectrum can be reproduced with high accuracy using an epidemic spreading model (ESM), which simulates the diffusion of Aβ across neuronal connections and is constrained by individual rates of Aβ production and clearance. However, it has not been investigated whether Aβ deposition in the rarer ADAD can be modeled in the same way, and if so, how congruent the spreading patterns of Aβ across sAD and ADAD are. We leverage the ESM as a data-driven approach to probe individual-level variation in the spreading patterns of Aβ across three different large-scale imaging datasets (2 SAD, 1 ADAD). We applied the ESM separately to the Alzheimer's Disease Neuroimaging initiative (N=737), the Open Access Series of Imaging Studies (N=510), and the Dominantly Inherited Alzheimer's Network (N=249), the latter two of which were processed using an identical pipeline. We assessed inter- and intra-individual model performance in each dataset separately, and further identified the most likely epicenter of Aβ spread for each individual. Using epicenters defined in previous work in sAD, the ESM provided moderate prediction of the regional pattern of Aβ deposition across all three datasets. We further find that, while the most likely epicenter for most Aβ-positive subjects overlaps with the default mode network, 13% of ADAD individuals were best characterized by a striatal origin of Aβ spread. These subjects were also distinguished by being younger than ADAD subjects with a DMN Aβ origin, despite having a similar estimated age of symptom onset. Together, our results suggest that most ADAD patients express Aβ spreading patters similar to those of sAD, but that there may be a subset of ADAD patients with a separate, striatal phenotype.

scholarly journals Public attitudes towards algorithmic personalization and use of personal data online: evidence from Germany, Great Britain, and the United States

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Anastasia Kozyreva ◽  
Philipp Lorenz-Spreen ◽  
Ralph Hertwig ◽  
Stephan Lewandowsky ◽  
Stefan M. Herzog
Keyword(s):  
United States ◽  
Great Britain ◽  
Data Privacy ◽  
Large Scale ◽  
Personal Information ◽  
Public Attitudes ◽  
Personal Data ◽  
The United States ◽  
Individual Level ◽  
Personalized Services

AbstractPeople rely on data-driven AI technologies nearly every time they go online, whether they are shopping, scrolling through news feeds, or looking for entertainment. Yet despite their ubiquity, personalization algorithms and the associated large-scale collection of personal data have largely escaped public scrutiny. Policy makers who wish to introduce regulations that respect people’s attitudes towards privacy and algorithmic personalization on the Internet would greatly benefit from knowing how people perceive personalization and personal data collection. To contribute to an empirical foundation for this knowledge, we surveyed public attitudes towards key aspects of algorithmic personalization and people’s data privacy concerns and behavior using representative online samples in Germany (N = 1065), Great Britain (N = 1092), and the United States (N = 1059). Our findings show that people object to the collection and use of sensitive personal information and to the personalization of political campaigning and, in Germany and Great Britain, to the personalization of news sources. Encouragingly, attitudes are independent of political preferences: People across the political spectrum share the same concerns about their data privacy and show similar levels of acceptance regarding personalized digital services and the use of private data for personalization. We also found an acceptability gap: People are more accepting of personalized services than of the collection of personal data and information required for these services. A large majority of respondents rated, on average, personalized services as more acceptable than the collection of personal information or data. The acceptability gap can be observed at both the aggregate and the individual level. Across countries, between 64% and 75% of respondents showed an acceptability gap. Our findings suggest a need for transparent algorithmic personalization that minimizes use of personal data, respects people’s preferences on personalization, is easy to adjust, and does not extend to political advertising.

Czech civil sector face-to-face with freelance activism

2016 ◽  
Vol 36 (11/12) ◽  
pp. 774-791
Author(s):  
Pavol Frič ◽  
Martin Vávra
Keyword(s):  
Large Scale ◽  
Civil Society Organizations ◽  
Political Consumerism ◽  
Data Set ◽  
Content Type ◽  
Individual Level ◽  
Face To Face ◽  
Online Activism ◽  
Civil Sector ◽  
Relationship Of

Purpose The purpose of this paper is to answer following question: what is the relationship between member activism performed through civil society organizations (CSOs) and individualized freelance activism (in form of online activism, everyday making, political consumerism or checkbook activism) independent of organizational framework? Is it a relationship of mutual competition or support? Design/methodology/approach Analysis is carried out on data from 2009 questionnaire-based survey on volunteering, representative for adult Czech population. The data set allowed the authors to relate member activism with freelance activism and in case of member activism distinguish the type of organization and the level of its professionalization. Findings Dominant pattern the authors identified in data is mutual support of both types of volunteering documented by significant overlap of these forms of public engagement. The most striking is the overlap for active members of new advocacy NGOs and the weakest for traditional clubs. Regression analysis shows that on an individual level “mixed activism” (compared with “pure freelance activism”) is linked with higher education and higher confidence in civic organizations. Originality/value The civil practice of individualized freelance activism was described and analysed by various authors as an activity of specific types of activist, but there has not yet been any research giving reflection on such a large scale of freelance activism types as in the analysis. The authors set them together in contrast to the member (collective, organized) form of civic activism and also took into account the influence of professionalization and type of CSOs.

The Economic Roots of External Efficacy: Assessing the Relationship between External Political Efficacy and Income Inequality

2015 ◽  
Vol 48 (4) ◽  
pp. 791-813 ◽  
Author(s):  
Mikel Norris
Keyword(s):  
Public Policy ◽  
Income Inequality ◽  
National Level ◽  
State Level ◽  
The United States ◽  
Political Efficacy ◽  
Multilevel Regression ◽  
Individual Level ◽  
Negative Effect ◽  
The 1960S

AbstractExternal political efficacy, the belief that government is responsive to the demands of its citizens, has been declining in the United States since the 1960s. However, scholars do not yet fully understand the reasons for its decline. Nor have they found suitable explanations for why it fluctuates within the electorate. Drawing on the growing literature on the effects of income inequality on public policy, I posit that increasing income inequality factors into the decline of external political efficacy. Using multilevel regression models accounting for individual and contextual factors, I find increasing state-level income inequality has a substantial negative effect on external political efficacy. It is greater than most state and national-level economic measures or individual-level variables on external political efficacy. These results have important implications both for research on income inequality and political participation and also for research on income inequality and distributional public policy.

Trust in scientists in times of pandemic: Panel evidence from 12 countries

2021 ◽  
Vol 118 (40) ◽  
pp. e2108576118
Author(s):  
Yann Algan ◽  
Daniel Cohen ◽  
Eva Davoine ◽  
Martial Foucault ◽  
Stefanie Stantcheva
Keyword(s):  
Large Scale ◽  
Social Trust ◽  
Critical Role ◽  
Individual Level ◽  
Individual Support ◽  
Compliant Behavior ◽  
Paradoxical Effects ◽  
The Government ◽  
Nonpharmaceutical Interventions

This article analyzes the specific and critical role of trust in scientists on both the support for and compliance with nonpharmaceutical interventions (NPIs) during the COVID-19 pandemic. We exploit large-scale, longitudinal, and representative surveys for 12 countries over the period from March to December 2020, and we complement the analysis with experimental data. We find that trust in scientists is the key driving force behind individual support for and compliance with NPIs and for favorable attitudes toward vaccination. The effect of trust in government is more ambiguous and tends to diminish support for and compliance with NPIs in countries where the recommendations from scientists and the government were not aligned. Trust in others also has seemingly paradoxical effects: in countries where social trust is high, the support for NPIs is low due to higher expectations that others will voluntary social distance. Our individual-level longitudinal data also allows us to evaluate the effects of within-person changes in trust over the pandemic: we show that trust levels and, in particular, trust in scientists have changed dramatically for individuals and within countries, with important subsequent effects on compliant behavior and support for NPIs. Such findings point out the challenging but critical need to maintain trust in scientists during a lasting pandemic that strains citizens and governments.

Cultural Capital and Volunteering: A Multilevel Study From China

2021 ◽  
pp. 089976402110573
Author(s):  
Zhiming Liu ◽  
Haiwei Jia
Keyword(s):  
Social Justice ◽  
Cultural Capital ◽  
Large Scale ◽  
Social Trust ◽  
General Social Survey ◽  
Social Survey ◽  
Capital Theory ◽  
Political Values ◽  
Individual Level ◽  
Positive Effects

In this article, we extend Wilson and Musick’s concept of cultural capital, which was defined as the culture of benevolence, to a multilevel concept and build a multilevel cultural capital theory about individual (nonmandatory) volunteering based on religious beliefs, political values, belief in social justice, and belief in social trust in the context of volunteering in China. Data from the 2012 Chinese General Social Survey, China’s national and comprehensive large-scale social survey project, are used to empirically investigate the influences of individual-level cultural capital (values of benevolence) and contextual-level cultural capital (cultural climate of benevolence) on individual volunteering. In terms of individual-level cultural capital, membership in the Chinese Communist Party (China’s ruling party), belief in social justice, and belief in social trust have significant positive relationships with individual volunteering. In terms of contextual-level cultural capital, the religious climate and justice climate in a province have significant positive effects on individual volunteering.

Paternalism, Autonomy, and the Common Good

2021 ◽  
pp. 89-109
Author(s):  
James Wilson
Keyword(s):  
Public Health ◽  
Public Policy ◽  
Health Policy ◽  
Public Health Policy ◽  
Common Good ◽  
Health Policies ◽  
Public Health Policies ◽  
Individual Level ◽  
The Common Good ◽  
The Common

Public health policies are often accused of being paternalistic, or to show the ‘Nanny State’ in action. This chapter argues that complaints about paternalism in public health policy are, for a variety of reasons, much less convincing than is often thought. First, for conceptual reasons, it is difficult to specify what it would be for a policy to be paternalistic. Second, two of the elements that make paternalism problematic at an individual level—interference with liberty and lack of individual consent—are endemic to public policy contexts in general and so cannot be used to support the claim that paternalism in particular is wrong. The chapter concludes that instead of debating whether a given policy is paternalistic, it would be better to ask whether the infringements of liberty it contains are justifiable, without placing any weight on whether or not those infringements of liberty are paternalistic.

Perceived Trust and Confidence for Cryptocurrency Adoption

2022 ◽  
pp. 250-279
Author(s):  
Ewilly Jie Ying Liew ◽  
Wei Li Peh ◽  
Zhuan Kee Leong
Keyword(s):  
Large Scale ◽  
Social Impact ◽  
Public Perceptions ◽  
Middle Income ◽  
Individual Level ◽  
Perceived Trust ◽  
Middle Income Countries ◽  
Regulatory Bodies ◽  
The Individual ◽  
National Databases

This chapter seeks to examine the influence of public perceptions of trust in people and confidence in institutions on cryptocurrency adoption, taking into account the individual-level demographic factors and the regional-level contextual factors. Data is obtained from three large-scale international surveys and national databases and analyzed using R software. The multivariate results demonstrate that individuals' public perceptions of trust and confidence significantly contribute to cryptocurrency adoption. Lower perceived trust in people and higher perceived confidence in civil service and international regulatory bodies increase cryptocurrency adoption, while perceived confidence in political and financial institutions discourages cryptocurrency adoption. Additionally, the univariate results find significant comparisons of gender and perceived trust differences on the predictors of cryptocurrency adoption. This chapter discusses and provides insights on the social impact and future of cryptocurrency adoption, particularly among the upper- and lower-middle-income countries.

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