Management paradigms for the new millennium

A proliferation of paradigms is occurring in management thought and practice, defining paradigms as means of understanding the world and a basis for informing action. Frequent paradigm shifts are essential for survival in a business context of constant innovation. While the idea of paradigms has been widely received in management, it has been so more as a contested than a settled domain. Management paradigms are far more numerous than those of the natural sciences that Kuhn studied. Kuhn expected the long periods of normality to be marked by an absence of paradigmatic questioning and strife. In management, at any time, there are a number of competing paradigms available.
Kuhn was concerned to chart how changing realities of investigation were tied up with changing perceptions. In business the focus has been much more on the changing realities rather than changing perspectives. In any system that is ecologically interdependent, if you change any paradigmatic part then you change the whole. When there is sufficient change and fluidity in a system then we can speak of a 'paradigm shift': that period when a shift occurs from one paradigm set to another, the transition from one wave to the next. In these conditions uncertainty and ambiguity will apply. Discontinuous change is a step shift in the rate of change that invalidates existing assumptions and begins to transform the rules of competition.     

Education and affinity? pedagogies of sexual citizenship in LGBTIQ youth support videos

ABSTRACT

This article provides an analysis of some of the ways in which educational resources for youth frame identity, sexuality and normativity within broader contexts of support and sexual citizenship. It focuses on online video resources for young people produced in Australia by the LGBTIQ support and curriculum advocacy organisation Safe Schools Coalition Australia and by the Minus18 Foundation. Developed as part of the larger All of Us educational package, these videos are explicitly pedagogical, presenting the viewer with ‘real life’ experiences from a range of young Australians. We consider the work the All of Us videos do in engaging with concepts of sexual citizenship, particularly as they seek to help young people navigate multiple forms of belonging and support. Of special interest is a series of tensions between normalising tendencies and the complexification of identities, communities, intimacies and belongings. While the videos may be perceived to operate within largely normative conceptualisations of sexuality, they explore ways of building affinity, peer support, and alternative ways of being that extend well beyond the logics usually offered by these frameworks.     

F-tests with a rare pathology

ANOVA is routinely used to compare pathologies. Nevertheless, in many situations, the sample dimensions may not be known when planning the study. This is specially relevant when one of the pathologies is rare. Thus, the sample size for that pathology or for all pathologies must be considered as random. Sample selection for the non-rare pathologies may be carried out to increase the balance of the model. This leads to F-tests with random non-centrality parameters and random degrees of freedom for the errors. The distribution of such tests statistics is obtained.     

A fast robust method for fitting gamma distributions

The art of fitting gamma distributions robustly is described. In particular we compare methods of fitting via minimizing a Cramér Von Mises distance, an L ₂ minimum distance estimator, and fitting a B-optimal M-estimator. After a brief prelude on robust estimation explaining the merits in terms of weak continuity and Fréchet differentiability of all the aforesaid estimators from an asymptotic point of view, a comparison is drawn with classical estimation and fitting. In summary, we give a practical example where minimizing a Cramér Von Mises distance is both efficacious in terms of efficiency and robustness as well as being easily implemented. Here gamma distributions arise naturally for “in control” representation indicators from measurements of spectra when using fourier transform infrared (FTIR) spectroscopy. However, estimating the in-control parameters for these distributions is often difficult, due to the occasional occurrence of outliers.     

Alcohol Use after Combat-Acquired Traumatic Brain Injury: What We Know and Don't Know

Military personnel engage in unhealthy alcohol use at rates higher than their same age, civilian peers, resulting in negative consequences for the individual and jeopardized force readiness for the armed services. Among those returning from combat deployment, unhealthy drinking may be exacerbated by acute stress reactions and injury, including traumatic brain injury (TBI). Combat-acquired TBI is common among personnel in the current conflicts. Although research suggests that impairments due to TBI leads to an increased risk for unhealthy drinking and consequences among civilians, there has been little research to examine whether TBI influences drinking behaviors among military personnel. This article examines TBI and drinking in both civilian and military populations and discusses implications for clinical care and policy.     

The Internet: An Essential Tool for College Health Networking

Abstract

With the advent of the Internet, college health professionals have available to them a new setting in which to network. The Internet provides opportunities for immediate communication with a large and diverse community of colleagues. Through both the Student Health Service (SHS) Discussion Group and numerous health-related databases, the Internet serves as a powerful research tool for program development and improvement. Answers to queries about practice options, solutions for local problems, and support of innovative policies can be received almost instantaneously from college health professionals from across the United States and Canada. In this article, the authors summarize the history and current use of the SHS Discussion Group, provide a brief overview of Internet basics, and identify more advanced uses of the Internet by college health professionals.     

How many men work in the English early years sector? Why is the low figure so ‘stubbornly resistant to change’?

This study draws on data from the GenderEYE project, research conducted in England between 2018 and 2020, which aimed to examine the recruitment, support and retention of male teachers within early years education (EYE) with a view of developing a more gender diverse workforce in this sector. Data collection was by means of a survey, 9 case studies with early years settings and interviews with key stakeholders. In this study, we examine a key finding about the persistently low numbers of male EYE professionals, linking this to another finding concerning a lack of specific strategy to recruit and support men.     

Job Volatility of Rural,Low-income Mothers: A Mixed Methods Approach

The struggle for rural, low-income mothers to enter and remain in the workforce can contribute to job volatility, longitudinal changes in employment patterns. This study used a mixed methods longitudinal approach to examine job volatility of 245 rural, low-income mothers across 14 states. The mothers were categorized into three groups: stable employment, intermittent employment, and continuous unemployment. Work and family responsibilities were a continuous struggle for these mothers. Some mothers addressed these struggles through changing jobs, receiving social support, and/or staying out of the workforce to care for their children. To reduce job volatility, both qualitative and quantitative analyses showed that human capital development requires workplace flexibility and social support in addition to the traditional investments in education and healthcare.     

Bayesian Weibull tree models for survival analysis of clinico-genomic data

An important goal of research involving gene expression data for outcome prediction is to establish the ability of genomic data to define clinically relevant risk factors. Recent studies have demonstrated that microarray data can successfully cluster patients into low- and high-risk categories. However, the need exists for models which examine how genomic predictors interact with existing clinical factors and provide personalized outcome predictions. We have developed clinico-genomic tree models for survival outcomes which use recursive partitioning to subdivide the current data set into homogeneous subgroups of patients, each with a specific Weibull survival distribution. These trees can provide personalized predictive distributions of the probability of survival for individuals of interest. Our strategy is to fit multiple models; within each model we adopt a prior on the Weibull scale parameter and update this prior via Empirical Bayes whenever the sample is split at a given node. The decision to split is based on a Bayes factor criterion. The resulting trees are weighted according to their relative likelihood values and predictions are made by averaging over models. In a pilot study of survival in advanced stage ovarian cancer we demonstrate that clinical and genomic data are complementary sources of information relevant to survival, and we use the exploratory nature of the trees to identify potential genomic biomarkers worthy of further study.