What Is the Definition of the Resilience Vulnerability Characteristic
The phenomenon of resilience has been studied among adolescents from disadvantaged neighbourhoods. To date, much of the research has been conducted with prepubertal and younger children (Garmezy & Tellegen, 1984; Garmezy, Masten, & Tellegen, 1984; Masten et al., 1988; Werner and Smith, 1982) or with young adults (Quinton, Rutter & Liddle, 1984; Rutter and Quinton, 1984; Werner, 1989). This study aimed to determine whether variables identified as protective at different ages also performed enhancement functions during adolescence. The selection of a downtown sample was based on the results of higher rates of adolescent behavioural problems (e.g., juvenile delinquency) among disadvantaged populations (Farrington, 1987; Snyder and Patterson, 1987). Such epidemiological data highlight the need for research on stress resistance in disadvantaged youth. Capacity building, disaster risk reduction and disaster risk management are components of development and resilience improvement. Disaster risk management options must recognize resilience as an inherently context-specific process. Because of its different facets, there is no single method for assessing vulnerability. Ideally, each assessment should take a holistic approach to vulnerability assessment. In reality, methods are generally divided into those that take into account physical vulnerability (or the built environment) and those that take into account socio-economic vulnerability. Building seismic resilience in Pakistan: 15 years after the 2005 earthquake “Semi-quantitative methods reduce the degree of generalization. They are flexible and can reduce subjectivity to some extent compared to the quantitative method.
This method uses damage matrices composed of classified intensities and gradual degrees of damage (Ciurean et al 2013). Figure 9 shows a correlation in terms of sensitivity between exposed elements and hazard characteristics. This requires statistical analysis of detailed records of landslides and their consequences. Jain, S., Buka, S.L., Subramanian, S. V. and Molnar, B. E. (2012). Protective factors for youth exposed to violence: The role of developmental resources in building emotional resilience.
Rape youth. Juv. Justice 10:107-129. doi: 10.1177/1541204011424735 Masten, A.S., and Shaffer, A. (2006). “How families matter in child development: reflections from reasearch on risk and resilience,” in Families Count: Effects on Child and Adolescent Development, edited by A. Clarke-Stewart and J. Dunn (Cambridge: Cambridge University Press), 5-25. Determination of the physical sensitivity of roads to debris flows by an expert approach. Instead of focusing solely on what limits people`s ability to reduce their risks, the policy objective of disaster risk reduction (DRR) focuses instead on understanding people`s ability to withstand and recover from disasters, as well as improving people`s overall resilience. of society and systems. Local and traditional knowledge available to vulnerable communities to respond to disasters should form the basis for external interventions to reduce disaster risk.
Figure 9: Structure of the vulnerability matrix. Source: (Winter et al., 2012). Despite the above limitations, this study also has important strengths. In line with the recommendations of some of the leading journals in this area of research (Luthar et al., 2000, 2015; Masten, 2014), the adversity and adaptation elements for the definition of resilience and vulnerability have been clearly operationalized in this study, which is fundamental for an adequate interpretation of their results and their comparability with other studies. The criteria used to differentiate and compare the four adaptive groups (competent, vulnerable, resilient and maladapted) were also based on previous research (Tiêt & Huizinga, 2002). In addition, this research follows the methodological rigors of the HBSC Survey (Roberts et al., 2009) and is characterized by its large sample size, which made it possible to characterize resilience and vulnerability phenomena in a representative and remarkably large sample. Although the size of the four groups may seem unbalanced, the representativeness of the original sample ensures that it is a relatively realistic reflection of the population. In addition, the use of effect size tests in all analyses minimizes the potential bias that such differences in subgroup size might represent from a methodological perspective. The high predictive capacity of the resulting resilience and vulnerability models, which reached a reported variance of more than 50%, is also remarkable.