Strains in Sustainability Debates: Traditional Ecological Knowledge and Western Science through the Lens of Extension Agents in a Pastoral Region

Those involved in sustainability debates on developmental pathways concur in the synergistic potential of integrating traditional ecological knowledge (TEK) and Western scientific approaches. Transhumant pastoralism is a livelihood strategy adapted to spatiotemporal environmental variability in many mountainous and arid regions worldwide. This form of livelihood is based on a mobile logic that is increasingly threatened by novel lifestyles promoted from a Western mind-set and by climate change. The aim of this article is to identify and characterize the different perspectives of environmental and social issues in a pastoral region and their association with labor collaboration among extension agents, framed in an institutional action. We tackled the inquiry about viewpoints with Q methodology and related it to regional problems, alternative solutions, and future development pathways for transhumant pastoralism and landscape management in northwest Patagonia. We identified six perspectives and characterized them with their topological position in the social network. Mediating positions registered the highest network centrality of labor collaborations among agents, whereas more dominant perspectives emphasizing TEK or scientific knowledge registered intermediate centrality. There was consensus on the need for sustainable developmental options, but the emphasis on combining knowledge still needs convergent solutions.     

Career Decision State and Assessment of RIASEC Interest Structure

The career decision state (CDS) was studied in relation to RIASEC (Realistic, Investigative, Artistic, Social, Enterprising, Conventional) profiles in Self-Directed Search results among college students (86 women, 27 men). Three CDS dimensions measured by the Career State Inventory (CSI; certainty, satisfaction, and clarity) were examined as predictors of RIASEC primary and secondary constructs. Significant, albeit modest, zero-order correlations (p < .05) emerged between clarity and 3 secondary constructs (i.e., consistency, commonness, and coherence). Results of regression analyses indicated that CSI dimensions predicted 1 secondary construct (i.e., commonness).     

Do small cities affect bird assemblages? An evaluation from Patagonia

Urban Ecosystems - Most studies about the impact of urbanization on bird assemblages are from the Northern Hemisphere and most previous research has reported that cities reduced bird species...     

Beyond tail median and conditional tail expectation: Extreme risk estimation using tail Lp-optimization

The conditional tail expectation (CTE) is an indicator of tail behavior that takes into account both the frequency and magnitude of a tail event. However, the asymptotic normality of its empirical estimator requires that the underlying distribution possess a finite variance; this can be a strong restriction in actuarial and financial applications. A valuable alternative is the median shortfall (MS), although it only gives information about the frequency of a tail event. We construct a class of tail L^p-medians encompassing the MS and CTE. For p in (1,2), a tail L^p-median depends on both the frequency and magnitude of tail events, and its empirical estimator is, within the range of the data, asymptotically normal under a condition weaker than a finite variance. We extrapolate this estimator and another technique to extreme levels using the heavy-tailed framework. The estimators are showcased on a simulation study and on real fire insurance data.     

Nonparametric beta kernel estimator for long and short memory time series

In this article we introduce a nonparametric estimator of the spectral density by smoothing the periodogram using beta kernel density. The estimator is proved to be bounded for short memory data and diverges at the origin for long memory data. The convergence in probability of the relative error and Monte Carlo simulations show that the proposed estimator automatically adapts to the long- and the short-range dependency of the process. A cross-validation procedure is studied in order to select the nuisance parameter of the estimator. Illustrations on historical as well as most recent returns and absolute returns of the S&P500 index show the performance of the beta kernel estimator. The Canadian Journal of Statistics 48: 582–595; 2020 © 2020 Statistical Society of Canada     

A non‐stationary bivariate INAR(1) process with a simple cross‐dependence: Estimation with some properties

This paper considers modelling of a non‐stationary bivariate integer‐valued autoregressive process of order 1 (BINAR(1)) where the cross‐dependence between the counting series is formed through the relationship of the current series with the previous‐lagged count series observations while the pair of innovations is independent and marginally Poisson. In addition, this paper proposes a generalised quasi‐likelihood (GQL) estimating equation based on the exact specification of the mean score and the auto‐covariance structure. The proposed approach is also compared with other popular techniques such as conditional maximum likelihood (CML), generalised least squares (GLS) and generalised method of moment (GMM) based on simulated data from the proposed BINAR(1). Moreover, the model is applied to weekly series of day and night road accidents arising in some regions of Mauritius and is compared with other existing BINAR(1) models.     

Perceived Racial Discrimination as a Predictor of Health Behaviors: the Moderating Role of Gender

Perceived racial discrimination (PRD) has been implicated in undermining the mental and physical health of racial/ethnic minorities (e.g., Williams et al. in Am J Public Health 93:200–208, 2003; Wong et al. in J Pers 71:1197–1232, 2003). Researchers have begun to explore the indirect role of health behaviors as one factor in helping to explain this relationship. The goal of the present study was to examine the relationship between PRD and a wide range of health behaviors using a prospective, longitudinal design and to explore the role of gender in moderating these relationships. Using data from the Maryland Adolescent Development in Context Study, we examined the relationship between adolescent PRD (accumulated across ages 14–21) and health behaviors (i.e., diet, substance use, exercise) at age 30 in a sample of middle-class black men and women. Using structural equation modeling, results revealed that more cumulative PRD during adolescence was associated with less healthy eating, more substance use (among men), and more exercise (among women) in young adulthood. Implications of these findings for understanding the role of health behaviors in explaining the link between PRD and health outcomes are considered.     

Cultural Activities,Identities, and Mental Health Among Urban American Indians with Mixed Racial/Ethnic Ancestries

Focus groups were conducted to appreciate the voices of Urban American Indians (UAI) who have mixed ancestries residing in Philadelphia, Pennsylvania. Participants (15 women and 10 men, 19–83 years of age) with a variety of Native ancestries coming from different nations (i.e., blackfeet, blackminkwa, Cherokee, Creek, Delaware, Lakota, Powhatan, Seminole, and Shawnee) reported to also have a Non-Native racial/ethnic ancestry such as African/black, Hispanic, and/or Caucasian/white. Specifically, this study provided evidence about (a) the complexity and challenge of being “mixed” UAI (e.g., “living a culture” as opposed to blood quantum in determining a personal identity) (b) the linkage of cultural identities to mental health (c) contributions of cultural activities to identities and mental health (e.g., therapeutic and healing functions of cultural activities), and (d) very limited urban Native-oriented mental health service (e.g., visions for Native American-centered mental health clinic in an urban setting). Building on those UAI’s voices, this paper provides a context for the need of a culturally respectful transformation of urban mental health system by highlighting the clinical significance of cultural identity and mental health promotion for UAI.     

A Multilevel Analysis of Hispanic Youth,Exposure to the United States,and Retail Theft

Panel data in the National Longitudinal Survey of Youth (NLSY97) provide an excellent opportunity to examine the relationship between Hispanic immigration, assimilation, and retail theft. This study examines the relationship between length of time Hispanic youth have spent in America, with the probability of stealing from a store. After controlling for traditional predictors of crime that are correlated with adolescence and immigrant status, random effects logistic regression models indicate that immigrants are less likely to steal than non-immigrants. However, calculating the marginal effects of time spent in the United States reveals that their probability increases with assimilation. Supplementary analyses specify that Hispanic youth who enter the United States within their first 5 years of age will have higher odds of engaging in retail theft. Supportive parenting and a structured home environment is a consistent protective factor in the models. Policies targeting pro-family and social identification are likely to benefit immigrant youth as they acculturate to America.