Editorial

VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations -     

THE IMPLICATIONS OF CHANGING EDUCATION AND GENDER INPUTS FOR POLICE DECISIONMAKING AND SUPERVISORY ROLES

This article reports the results of a survey of 43 Queensland police officers, half in supervisory roles and half immediately prior to induction. The purpose of the survey was to identify gender and educational differences between groups, and to identify any effect that these differences may have had on attitudes toward decision-making within the sample. The results were compared to a similar survey of American police chiefs. Attitudes toward decision-making were found to be similar among all groups with the exception of the perception of the ability to implement change. This was found to be significantly higher among women and those with a tertiary education. It was also suggested that female officers have the potential to excel in police managerial positions due to higher education levels, but they are currently seriously under-represented in supervisory and managerial positions.     

From closed ranks to open doors: Elaine and John Cummings' mental health education experiment in 1950s Saskatchewan

During late 1951 and early 1952, married couple, social biologist Elaine Cumming and psychiatrist John Cumming, led a mental health education experiment in Indian Head, Saskatchewan. The study, which was intended to inform strategies toward deinstitutionalization, sought to determine if attitudes regarding mental illness could be changed through commonly used educational practices. It was shaped by the shared interests of powerful philanthropic, charitable, psychiatric, academic and governmental bodies to create healthier citizens and a stronger democratic nation through expert knowledge. However, in addition to the disappointing findings indicating that attitudes remained unchanged, the town appeared to close ranks against the research team. Nonetheless, the Cummings' later association with sociologists at Harvard University enabled them to interpret the results in a way that lent the study credibility and themselves legitimacy, thus opening the door to their careers as very successful researchers and policy-makers.     

From lesbian heroine to devoted wife: or, what the stage would allow

Plays written by English women on the same historical subject appeared in 1696 and 1841. The earlier play, written in a period of active feminism, features Agnes de Castro as a lesbian heroine, probably the first in English stage history. The second, written in the age of Solomon Grundy, characterizes de Castro as a self-sacrificing, devoted heterosexual wife. Since both plays were written by women who would now be defined as lesbians, the treatment of the heroine seems more a reflection of audience than author. Study of the two plays with their sources and their authors' lives reveals much about audiences and the pressures a homophobic society can exert on lesbian artists who write for a living.     

Self‐presentation in sociolinguistic interviews: Identities and language variation in Panambi, Brazil

This paper contributes to recent work examining the role of identity, and in particular the uses of language for self‐presentation and the expression of individual identity, through the analysis of two sociolinguistic interviews from a community of German origin in southern Brazil. Drawing from a quantitative study of variation in the southern state of Rio Grande do Sul, we conducted a detailed analysis of the interviews of two women of different ages and social backgrounds. We first describe the social, cultural and historical context of the interviews, and then discuss how our two speakers use their linguistic resources to express varied, and at times conflicting, aspects of their identities. More specifically, we show how our participants seem to maintain certain in‐group, German‐linked features, yet also use out‐group or Brazilian features in order to index both the (local) German and (regional) Brazilian aspects of their identities. Our data and analysis highlight how participants' identity and language use patterns can be better understood through close analysis of the content of their discourse.     

Parents and Educators: Dialogue and Development Through Partnership

SUMMARY. This paper describes an approach to working with parents which emphasises the parents' own learning process and which might be termed ‘developmental partnership’. By this is meant a relationship in which not only are the parents explicitly acknowledged as the primary educators of their own children but also that, through a process of mutual enquiry into the activities and development of these children, parents, educator and children learn and work together. A number of issues are raised about working in ‘developmental partnership’ with parents, including the role of the unconscious in relationships focused upon learning.     

Editorial

VOLUNTAS: International Journal of Voluntary and Nonprofit Organizations -     

Improved estimators for the location of double exponential distribution

In this paper, attention is focused on estimation of the location parameter in the double exponential case using a weighted linear combination of the sample median and pairs of order statistics, with symmetric distance to both sides from the sample median. Minimizing with respect to weights and distances we get smaller asymptotic variance in the second order. If the number of pairs is taken as infinite and the distances as null we attain the least asymptotic variance in this class of estimators. The Pitman estimator is also noted. Similarly improved estimators are scanned over their probability of concentration to investigate its bound. Numerical comparison of the estimators is shown.     

Flood risk mapping and analysis using an integrated framework of machine learning models and analytic hierarchy process

In this study, a new approach of machine learning (ML) models integrated with the analytic hierarchy process (AHP) method was proposed to develop a holistic flood risk assessment map. Flood susceptibility maps were created using ML techniques. AHP was utilized to combine flood vulnerability and exposure criteria. We selected Quang Binh province of Vietnam as a case study and collected available data, including 696 flooding locations of historical flooding events in 2007, 2010, 2016, and 2020; and flood influencing factors of elevation, slope, curvature, flow direction, flow accumulation, distance from river, river density, land cover, geology, and rainfall. These data were used to construct training and testing datasets. The susceptibility models were validated and compared using statistical techniques. An integrated flood risk assessment framework was proposed to incorporate flood hazard (flood susceptibility), flood exposure (distance from river, land use, population density, and rainfall), and flood vulnerability (poverty rate, number of freshwater stations, road density, number of schools, and healthcare facilities). Model validation suggested that deep learning has the best performance of AUC = 0.984 compared with other ensemble models of MultiBoostAB Ensemble (0.958), Random SubSpace Ensemble (0.962), and credal decision tree (AUC = 0.918). The final flood risk map shows 5075 ha (0.63%) in extremely high risk, 47,955 ha (5.95%) in high-risk, 40,460 ha (5.02%) in medium risk, 431,908 ha (53.55%) in low risk areas, and 281,127 ha (34.86%) in very low risk. The present study highlights that the integration of ML models and AHP is a promising framework for mapping flood risks in flood-prone areas.