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Jones, Peter R.; Harris, Philip W.

doi:10.1023/a:1007524414432

Cited by 29 publications

(10 citation statements)

References 32 publications

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“…Os 26 artigos nessa seção classificaram os adolescentes infratores a partir de medidas em variáveis multidimensionais (comportamentais, sociais e psicológicas) (Baskin & Sommers, 2015;Brennan et al, 2008;Cuervo et al, 2015;Cuervo et al, 2017;Cuevas et al, 2007;Davis et al, 2018;Dembo & Schmeidler;Drummond, et al, 2016;Euler et al, 2017;Geluk et al, 2014;Guebert & Olver, 2014;Henneberger et al, 2014;Hillege et al, 2017;Jones & Harris, 1999;Lemos, 2010;Mowder et al, 2010;Mulder et al, 2012;Odgers et al, 2007;Onifade et al, 2008;Onifade et al, 2010;Reingle et al, 2012;Schwalbe et al, 2008;van der Put et al, 2014;Walker et al, 2016;Whitney et al, 2010). Sendo que alguns selecionaram aquelas que já eram consideradas pela literatura como a fatores de risco e/ou de proteção à delinquência juvenil, buscando encontrar perfis considerando a trajetória de delitos cometidos, o uso de substâncias, aspectos familiares, escolares, relação com os pares, lazer e tempo livre, personalidade, atitudes, crenças e valores (Andrews & Bonta, 2006), esses estudos foram realizados com amostras de adolescentes infratores.…”

Section: Perfis Psicossociaisunclassified

“…Outros estudos encontraram um perfil no qual os fatores de risco significativos estavam delimitados à família -caracterizada por práticas parentais negativas, violência familiar, abuso e negligência (Hillege et al, 2017;Lemos, 2010;Onifade et al, 2008;van der Put et al, 2014;Walker et al, 2016). Outros, um perfil para o qual a prática de delitos se mostrou relacionada a apenas a problemas no campo da saúde mental, incluindo o uso abusivo de drogas (Hillege et al, 2017;Jones & Harris, 1999;Mulder et al, 2012;Walker et al, 2016) Boa parte das investigações também aponta para a existência de um perfil caracterizado por apresentar um risco moderado à reincidência infracional, somadas pontuações em variáveis de dimensões sociais e, em menor medida, em variáveis pessoais, referentes a personalidade, atitudes e valores (Brennan, et al, 2008;Cuervo et al, 2017;Geluk et al, 2014;Hillege et al, 2017;Onifade et al, 2010;Onifade et al, 2008;Schwalbe et al, 2008). Foi frequente a identificação de um subgrupo, nas diferentes amostras, apresentando risco moderado à reincidência infracional, em razão de presença significativa em problemas escolares, de afiliação a pares desviantes e de uso de substâncias, e de manifestação de uma atitude hostil frente a figuras de autoridade (Cuervo et al, 2017;Geluk et al, 2014;Onifade et al, 2010;Onifade et al, 2008;Schwalbe et al, 2008).…”

Section: Perfis Psicossociaisunclassified

“…Os pesquisadores que defendem a existência de diferentes perfis/tipos de delinquência juvenil buscam encontrar agrupamentos baseando-se em fatores biológicos, psicossociais, comportamentais e de personalidade. Essa posição sugere que a complexidade inerente ao desenvolvimento do comportamento antissocial não pode ser reduzida a uma teoria explicativa geral, universal, e que as diferentes explicações precisam ser sistematizadas e consideradas, tanto na busca de uma melhor compreensão do fenômeno, quanto na formulação de programas de intervenção junto aos adolescentes (Bazon, 2016;Brennan et al, 2008;Jones & Harris, 1999;Schwalbe et al, 2008).…”

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Tipologías en delincuencia juvenil: una revisión de literatura

Galinari

Bazon

2020

PSICO

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O comportamento delitivo dos adolescentes pode-se desenvolver com diferentes padrões de trajetória. Por isso, muitos pesquisadores da área têm procurado compreender essas diferenças em termos de tipos e perfis. Considerando que uma dificuldade dentro deste campo é a falta de sistematização dos resultados previamente encontrados, o objetivo deste estudo foi realizar uma revisão da literatura, analisando os estudos que procuraram encontrar os diferentes perfis dos adolescentes infratores. Foi realizada uma busca nas bases de dados PsycInfo, Web of Science e Scielo, e foram selecionados 56 estudos. Em geral, os estudos procuraram encontrar perfis considerando fatores de risco e proteção, trajetórias delitivas e características psicológicas. A revisão apontou que é necessário clarificar os aspectos que são relevantes em relação a delimitação de perfis e em como esse conhecimento poderia ser aplicado na prática. Palavras-chave: delinquência juvenil; perfis; trajetórias delitivas; taxonomia; revisão de literatura Typology in juvenile delinquency: A literature reviewThe delinquent behavior of adolescents can develop in different trajectories. Many researchers sought to understand differences in terms of types/ profiles. A difficulty in this field is the lack of systematization of the results previously found, this study aimed to carry out a review of the literature, analyzing the studies that sought to find profiles among the juvenile offenders. A search was performed on PsycInfo, Web of Science and Scielo databases and 56 studies were selected. The studies found profiles considering risk/protection factors, criminal trajectories and psychological characteristics. The review pointed out that it is necessary to clarify the aspects that are relevant in relation to the delimitation of profiles and in how this knowledge could be applied in practice.

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Section: Perfis Psicossociaisunclassified

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Tipologías en delincuencia juvenil: una revisión de literatura

Galinari

Bazon

2020

PSICO

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“…where S 2 exp ¼ 1 − SS c =SS T ; SS c = within cluster sum of squared distance; and SS T = sum of squared distance between observation pairs (Jones and Harris 1999). As the optimum variable set may differ based on the K value, the frequency of including a specific variable in the optimum set is used to reflect its importance for clustering the network routes.…”

Section: Genetic Algorithm and Cluster Analysesmentioning

confidence: 99%

Robustness Quantification of Transit Infrastructure under Systemic Risks: A Hybrid Network–Analytics Approach for Resilience Planning

Hassan

Yosri

Ezzeldin

et al. 2022

J. Transp. Eng., Part A: Systems

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Disruptions due to either natural or anthropogenic hazards can significantly impact the operation of critical infrastructure networks (e.g., transportation systems) as they may instigate network-level (cascade) systemic risks, thus impacting the overall city resilience. Recent relevant studies demonstrated the need to quantify the resilience of city infrastructure networks following failures of one/some of their main components, considering both topological and operational network measures. Subsequently, focusing on robustness (a key resilience attribute) and on transit (a major critical infrastructure network), the current study develops a related quantification tool employing a hybrid approach that integrates complex network theoretic measures with data analytics, and specifically clustering and genetic algorithms. To demonstrate the practical utility of the developed tool, the robustness of the City of Minneapolis bus transit network is quantified under possible cascade failures represented by node (i.e., bus stop), link (i.e., route segment), and route failure scenarios. The robustness quantification of this transit network is facilitated by analyzing 43 topological and operational measures using a coupled map lattice model integrated with a direction-based passenger flow redistribution model. Absorptive capacity thresholds are subsequently identified under different passenger flow-to-route capacity ratios. Finally, the routes are categorized based on their influences on the network robustness using genetic algorithms coupled with K-means clustering. The developed approach aims at providing a better understanding of transit systems pre-and postdisruptions by identifying key components that control the network robustness and subsequently devising reliable systemic risk management strategies and recovery plans. Such strategies and plans are expected to facilitate city resilience planning through management of cascade failure risks attributed to natural and anthropogenic hazard events.

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“…We calculated the homogeneity index (Hk) for all cluster solutions. This index compares the variance within a particular cluster with the variance for the total sample (Jones & Harris, 1999). The homogeneity index varies normally between 0 and 1, where 0 means that all cluster members have the same values.…”

Section: Analysesmentioning

confidence: 99%

The severity and spread of adjustment problems of adolescents involved in mutually hostile interactions with others☆

Stattin

Latina

2017

Journal of Adolescence

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In the literature, bully-victims report a wider range of adjustment problems than "pure" bullies or victims. This may not be confined to the school context, but might be found in other settings as well. Involvement in mutually hostile interactions across everyday settings may more reflect adolescents' characteristic way of handling conflicts with others. We used data from a longitudinal study of a community sample of adolescents (N = 992). Cluster analyses for specific everyday settings and across settings yielded clusters high on both exposing others and being exposed to hostility. Adolescents in these clusters, and particularly across settings, reported a wider range of externalizing, internalizing, and academic problems, than adolescents in other cluster groups. Longitudinal analyses showed support for bidirectional relationships between mutually hostile conditions and problematic adjustment. We conclude that adolescents' mutual hostility experiences are associated with profoundly problematic adjustment.

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Cited by 29 publications

References 32 publications

Tipologías en delincuencia juvenil: una revisión de literatura

Tipologías en delincuencia juvenil: una revisión de literatura

Robustness Quantification of Transit Infrastructure under Systemic Risks: A Hybrid Network–Analytics Approach for Resilience Planning

The severity and spread of adjustment problems of adolescents involved in mutually hostile interactions with others☆

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