‘But I can do the job’: examining disability employment practice through human rights complaint cases

Natural data on the Australian Human Rights Commission’s website outlining the complaint cases generated from Disability Discrimination Act, 1992 (DDA) were used to examine the social construction of disability employment discrimination. Using a social model and human rights citizenship lens, some 987 complaint cases were analysed to assess the prevalence of disability discrimination in employment, and its relationship to the types of disability, gender, entity undertaking the actions and organisational context. Of all complaint cases across the Australian Human Rights Commission’s operations, by far the largest proportion involves disability discrimination. Within the disability discrimination complaint cases, employment makes up the greatest proportion of these cases. In examining the patterns of discrimination seven major themes emerged involving: distinctive patterns across disability type; access to premises; human resource mismanagement; selection of new employees; integration of assistive technology; perception of cost of disability inclusions; and inflexible organisational workplace practices. The discussion examines the underlying reasons for the emergent themes where employers misunderstood key legal concepts that underpin the DDA including: unjustifiable hardship; inherent requirements; reasonable adjustment; direct; and indirect discrimination. The paper concludes by discussing the implications of the findings as a way of understanding the social construction of disability discrimination in employment to signal ways to better develop inclusive organisational practice.     

The Economic Impact of Space Weather: Where Do We Stand?

Space weather describes the way in which the Sun, and conditions in space more generally, impact human activity and technology both in space and on the ground. It is now well understood that space weather represents a significant threat to infrastructure resilience, and is a source of risk that is wide‐ranging in its impact and the pathways by which this impact may occur. Although space weather is growing rapidly as a field, work rigorously assessing the overall economic cost of space weather appears to be in its infancy. Here, we provide an initial literature review to gather and assess the quality of any published assessments of space weather impacts and socioeconomic studies. Generally speaking, there is a good volume of scientific peer‐reviewed literature detailing the likelihood and statistics of different types of space weather phenomena. These phenomena all typically exhibit “power‐law” behavior in their severity. The literature on documented impacts is not as extensive, with many case studies, but few statistical studies. The literature on the economic impacts of space weather is rather sparse and not as well developed when compared to the other sections, most probably due to the somewhat limited data that are available from end‐users. The major risk is attached to power distribution systems and there is disagreement as to the severity of the technological footprint. This strongly controls the economic impact. Consequently, urgent work is required to better quantify the risk of future space weather events.     

Reviews

Trina Nolen reviews Rethinking Information Literacy; Elizabeth Parang, Fundamentals of Managing Reference Collections; Ann Roll reviews Building and Managing E-Book Collections; and Sarah Tusa reviews HR: A Human Resources Handbook for Academic Library Staff.     

Exact Sampling from a Continuous State Space

Propp & Wilson (1996) described a protocol, called coupling from the past, for exact sampling from a target distribution using a coupled Markov chain Monte Carlo algorithm. In this paper we extend coupling from the past to various MCMC samplers on a continuous state space; rather than following the monotone sampling device of Propp & Wilson, our approach uses methods related to gamma-coupling and rejection sampling to simulate the chain, and direct accounting of sample paths.     

Staff responses to age‐related health changes in people with an intellectual disability in group homes

The purpose of this study was to explore how supervisors in group homes caring for people with intellectual disability responded to the development of age‐related health changes in their residents. Ten group home supervisors working in the disability sector were interviewed once. Data were analysed using Dimensional Analysis. The study identified several factors related to whether a resident could stay ‘at home’ or would need to be moved to residential aged care (nursing home) including: nature and extent of group home resources, group home staff comfort with residents’ health changes, staff skill at navigating the intersection between the disability and ageing sectors, and the supervisor’s philosophy of care. The ability of older people with an intellectual disability to ‘age in place’ is affected by staff knowledge about and comfort with age‐related illnesses, staff skills at navigating formal services, staffing flexibility, and the philosophy of group home supervisors. Despite the growing international concern for the rights of people with disability, particularly in relation to decision making, questions about the older person’s choice of residence and participation in decision making about what was best for them, were almost nonexistent. Rather, decisions were made based on what was considered to be in ‘the best interest’.     

Selection of regress or va riables when E(Y) is an unknown honlinear function

We consider the problem of deciding which of a set of p independent variables x₁ X₂J x_s we are to regard as being functionally involved in the mean of a dependent normal random variable Y and estimating E( Y) in terms of the chosen x's. This mean is an unknown function (assumed to be doubly differentiable) of some or all of the x's, so that the problem is of wide relevance. We approximate to the hypersurface in two different ways, and select within each approximation:

(a)For the situation where the mean of Y is assumed to be a linear function of the x's, we use ono of the optimum methods of selection.

(b)More generally, in the space of the X's the function will be approximately linear in a relatively small region. Accordingly this p-dimensional space is subdivided into smaller regions by a clustering procedure, and a hyperplane if fitted with in each region to aproximate to the unknown responce surface.An adaption of an optimum-regressor-selection procedure is then used to assist in the selection of the regressors

Approximate F tests are given to choose between models, including deciding how many x's to retain. Alternatively: the application of Akaike's Extended Maximum Likelihood Principle provides another way of choosing between the models and of selecting regressor variables. The methods are applied to data on glass manufacture.