From these roots: The role of historically Black colleges and universities in preparing the nation’s gerontologists for an aging society

ABSTRACT

The aging of the United States population is creating an increased need for social workers and other helping professionals with training in gerontology. Recent estimates indicate that less than 3% of MSW students are enrolled in an aging concentration, as compared to 19% enrolled in children/youth concentrations. In addition, the phenomenon of a diverse baby boomer generation joining the ranks of persons age 65 and older has created a plethora of scholarship and curriculum development aimed at readying the aging network for the unprecedented growth of older persons. Social work can make unique professional contributions to the field of gerontology and older persons. This study asserts, however, that social work is not adequately prepared to practice in an increasingly diverse aging society. The social work profession has articulated commitments to acknowledging and affirming how diversity and culture shape the human experience and to developing social workers who can competently engage in research-informed practice and practice-informed research. However, there remains a need in social work education for more widespread use of culturally relevant pedagogies that can help achieve these goals. Informed by both the Afrocentric and Black perspectives, this study presents a content analysis of the curricula infused at two historically Black universities. The nature and extent of the contributions of historically Black universities to social work education is the focus of this article. The scope of this investigation also includes the identification of prominent Black social work educators and discusses the implications of these perspectives for more culturally informed gerontology curricula that promote culturally competent gerontological social workers.     

Best practices for online Canadian prenatal health promotion: A public health approach

Background

Prenatal health promotion provides information regarding pregnancy risks, protective behaviours and clinical and community resources. Typically, women obtain prenatal health information from health care providers, prenatal classes, peers/family, media and increasingly, Internet sites and mobile apps. Barriers to prenatal health promotion and related services include language, rural/remote location, citizenship and disability. Online public health platforms represent the capacity to reach underserved women and can be customised to address the needs of a heterogeneous population of pregnant women.

The selection of zero-non-zero patterned cointegrating vectors in error-correction modelling

An effective and efficient search algorithm has been developed to select from an 1(1) system zero-non-zero patterned cointegrating and loading vectors in a subset VECM, B^q(l)y(t-1) + B^q-1 (L)Ay(t) = ε( t ) , where the long term impact matrix Bq(l) contains zero entries. The algorithm can be applied to higher order integrated systems. The Finnish money-output model presented by Johansen and Juselius (1990) and the United States balanced growth model presented by King, Plosser, Stock and Watson (1991) are used to demonstrate the usefulness of this algorithm in examining the cointegrating relationships in vector time series.     

Informed consent for research on stored blood and tissue samples: a survey of institutional review board practices

Numerous position papers have outlined informed consent recommendations for the collection, storage, and future use of biological samples; however, there currently is no consensus regarding what kinds of information should be included in consent forms. This study aimed to determine whether institutional review boards (IRBs) vary in their informed consent requirements for research on stored biological samples, and whether any variation observed could be correlated to factors such as volume of work, IRB members' familiarity with ethical issues in genetic research, and IRBs' use of either of two policy guidelines as resources. A brief survey was mailed to all IRB chairpersons on a mailing list obtained from the Office for Human Research Protections. Survey questions included whether consent forms for the collection of biological samples for future use address each of six provisions recommended in current guidelines and position statements, and whether IRBs used the Office for Protection from Research Risks' 1993 Protecting Human Research Subjects: Institutional Review Board Guidebook, chapter 5 (hereinafter IRB Guidebook) or the National Bioethics Advisory Commission's 1999 Research Involving Human Biological Materials: Ethical Issues and Policy Guidance, Volume I (hereinafter Report) in their deliberations. Despite a low response rate (22%, 427 respondents), results indicate that IRB practices vary substantially. The degree to which the provisions were included in consent forms was found to correlate positively with IRBs that review a greater volume of protocols annually, those that use the National Bioethics Advisory Commission Report in their deliberations, and those that draw on both the Report and the IRB Guidebook.     

Stigmatizing Indebtedness: Implications for Labeling Theory

Given the low visibility of indebtedness and normative expectations regarding the use of credit and the accrual of debt, questions arise as to whether or not being unable to manage one's finances responsibly should necessarily lead a person to feel shame. Findings from a study, based on forty‐six interviews with members of Debtors Anonymous (DA), exploring the relevance of labeling theory to individual perceptions of one's indebtedness as shameful are presented. Shame is revealed to be a key element in the labeling process. How stigmatized labels arise in interaction, how such labels affect a person's thoughts, feelings, and actions, and how gender affects labeling experiences are discussed. Insights into the interconnections between labeling and shame show the labeling process to be considerably more complex than suggested in the original version of labeling theory.     

Flexibility and regularity properties of the asymptotically ideal production model

This paper uses simulations to investigate the ability of the Asymptotically Ideal Model(AIM) to approximate unknown technologies. AIM was proposed by Barnett and Jonas (1983) as an expansion which could approximate any indirect utility or cost function arbitrarily well at all prices. By applying AIM to simulated data, we fmd a significant improvement in prediction by higher orders of AIM relative to the generalized Leontief and the translog. The largest error in approximating some CES technologies with AIM is 125 times smaller than that of the generalized Leontief and we find a translog approximation error 1000 times that of AIM in others. We also fmd that non-negativity constraints used by Barnett, Geweke, and Wolfe (1991) to impose concavity on the model greatly restrict the flexibility of AIM, even when all the inputs are substitutes.     

DISCRIMINATION, BAYESIAN UPDATING OF EMPLOYER BELIEFS, AND HUMAN CAPITAL ACCUMULATION

This article proposes a dynamic labor market discrimination model based on Bayesian updating of beliefs by the employer. The employer forms initial beliefs of worker ability conditional on group and updates his beliefs each period based on observed output. Inaccurate initial priors lead to diminished human capital investment among members of the undervalued group and may generate inequities lasting many periods or even permanently. Statistical discrimination models in which differing variances drive the inequity are special cases of the model.