Exceptional teachers for disadvantaged schools

This article reports on the first year of the Exceptional Teachers for Disadvantaged Schools project, a teacher education approach designed to prepare high quality teachers for low socio-economic schools. The Exceptional Teachers for Disadvantaged Schools (ETDS) project is an innovative way to prepare high-quality teachers for employment in low-SES schools. The program, based at Queensland University of Technology (QUT), offers a specialised curriculum, designed to equip high-achieving pre-service teachers for work in the schools that need them most. Selected pre-service teachers at QUT are invited to take part in the trial course, based on their academic performance over the first two years of their four-year Bachelor of Education degree, and on a demonstrated commitment to social justice. These participants undertake a modified version of QUT's B Ed on-campus curriculum. They have their practicum/field experience at one of a range of disadvantaged schools throughout Queensland which have agreed to partner with QUT in the program. In the past, teacher education for disadvantaged schools has been described as applying a 'missionary' or deficit model (Larabee, 2010; Comber and Kamler, 2004; Flessa, 2007). The principals of schools participating in the ETDS react strongly against such an approach, and have explicitly asked project staff not to send them anyone who 'thinks they can save the world'. The ETDS project has moved well away from such a model, towards a position that is explicitly centred on notions of academic excellence. The project is now at the end of its first trial year.

Transforming perceptions and responses to student difference : the journey of seven beginning teachers

Drawing on critical social theory and transformative learning, this study investigates the sociocultural factors that enable a move away from the deficit model of learning. The multicase study examines beginning teachers’ perceptions of learning and teaching for students experiencing learning difficulties. The fluid conception of identity occupied by beginning teachers was explored as the participants challenged structural ideologies and their personal belief systems. The study argues that personal factors such as, engaging in critical reflection and beliefs, and school factors such as job security and school context influence how beginning teachers respond to diverse learners and position themselves as agentive.

Postdiagnosis personal growth in an Australian population of parents raising children with developmental disability

Background Parenting a child with a developmental disability presents a variety of long-term physical and emotional challenges. When exploring parent wellbeing, the disability field is dominated by a deficit model despite parents reportedly demonstrating coping and resilience. The current study is embedded in a salutogenic theory (Antonovsky, 1979) and explores the potential for parents of children diagnosed with a developmental disability to undergo positive changes. Method Participants were 6 fathers and 27 mothers who completed measures of distress and posttraumatic growth. Results Compared with a number of other Australian samples, participants reported significantly higher levels of posttraumatic growth. Reports of growth did not negate reports of distress. Results also indicated that constructs of distress and growth were independent. Conclusions The research has important implications for disability support services, reminding providers to be cognisant of the potential for growth, as well as distress, thereby permitting an atmosphere conducive to exploring such outcomes.

Functional MRI of facial emotion recognition deficits in schizophrenia and their electrophysiological correlates

Empirical evidence suggests impaired facial emotion recognition in schizophrenia. However, the nature of this deficit is the subject of ongoing research. The current study tested the hypothesis that a generalized deficit at an early stage of face-specific processing (i.e. putatively subserved by the fusiform gyrus) accounts for impaired facial emotion recognition in schizophrenia as opposed to the Negative Emotion-specific Deficit Model, which suggests impaired facial information processing at subsequent stages. Event-related potentials (ERPs) were recorded from 11 schizophrenia patients and 15 matched controls while performing a gender discrimination and a facial emotion recognition task. Significant reduction of the face-specific vertex positive potential (VPP) at a peak latency of 165 ms was confirmed in schizophrenia subjects whereas their early visual processing, as indexed by P1, was found to be intact. Attenuated VPP was found to correlate with subsequent P3 amplitude reduction and to predict accuracy when performing a facial emotion discrimination task. A subset of ten schizophrenia patients and ten matched healthy control subjects also performed similar tasks in the magnetic resonance imaging scanner. Patients showed reduced blood oxygenation level-dependent (BOLD) activation in the fusiform, inferior frontal, middle temporal and middle occipital gyrus as well as in the amygdala. Correlation analyses revealed that VPP and the subsequent P3a ERP components predict fusiform gyrus BOLD activation. These results suggest that problems in facial affect recognition in schizophrenia may represent flow-on effects of a generalized deficit in early visual processing.

Saving Indigenous nurses and midwives from historical oblivion

Learning about the Indigenous women who had worked between 1950-2005 was a surprise to me. This area of under researched Australian history became a passion which I've continued to explore and, in recent years. have extended. It's a challenging field. with issues familiar to many historians. There may be many documentary records about Indigenous nurses, hidden in publicly accessible archives and collections, but individuals may not easily be identified as Indigenous. Another enormous challenge is to question widely-held assumptions. Historically, Aboriginal people have been positioned within a deficit model and cast as recipients of health care. So it's assumed that Indigenous people did not deliver care in any way. were not part of formal training schemes, or were not in paid employment. More evidence is emerging that counters those assumptions. Aboriginal women have worked as nurses and midwives within Australia as far back as the 1890s and, who knows, perhaps earlier. Their contribution is a hidden but significant element in Indigenous and Australian history

Reduced motor facilitation during action observation in schizophrenia : a mirror neuron deficit?

Impairments in social cognitive functioning are well documented in schizophrenia, however the neural basis of these deficits is unclear. A recent explanatory model of social cognition centers upon the activity of mirror neurons, which are cortical brain cells that become active during both the performance and observation of behavior. Here, we test for the first time whether mirror neuron functioning is reduced in schizophrenia. Fifteen individuals with schizophrenia or schizoaffective disorder and fifteen healthy controls completed a transcranial magnetic stimulation (TMS) experiment designed to assess mirror neuron activation. While patients demonstrated no abnormalities in cortical excitability, motor facilitation during action observation, putatively reflecting mirror neuron activity, was reduced in schizophrenia. Dysfunction within the mirror neuron system may contribute to the pathophysiology of schizophrenia.

Differential susceptibility to performance degradation across categories of facial emotion - a model confirmation

Patients with a number of psychiatric and neuropathological conditions demonstrate problems in recognising facial expressions of emotion. Research indicating that patients with schizophrenia perform more poorly in the recognition of negative valence facial stimuli than positive valence stimuli has been interpreted as evidence of a negative emotion specific deficit. An alternate explanation rests in the psychometric properties of the stimulus materials. This model suggests that the pattern of impairment observed in schizophrenia may reflect initial discrepancies in task difficulty between stimulus categories, which are not apparent in healthy subjects because of ceiling effects. This hypothesis is tested, by examining the performance of healthy subjects in a facial emotion categorisation task with three levels of stimulus resolution. Results confirm the predictions of the model, showing that performance degrades differentially across emotion categories, with the greatest deterioration to negative valence stimuli. In the light of these results, a possible methodology for detecting emotion specific deficits in clinical samples is discussed.

A generalised deficit can account for problems in facial emotion recognition in schizophrenia

Neuroimaging research has shown localised brain activation to different facial expressions. This, along with the finding that schizophrenia patients perform poorly in their recognition of negative emotions, has raised the suggestion that patients display an emotion specific impairment. We propose that this asymmetry in performance reflects task difficulty gradations, rather than aberrant processing in neural pathways subserving recognition of specific emotions. A neural network model is presented, which classifies facial expressions on the basis of measurements derived from human faces. After training, the network showed an accuracy pattern closely resembling that of healthy subjects. Lesioning of the network led to an overall decrease in the network’s discriminant capacity, with the greatest accuracy decrease to fear, disgust and anger stimuli. This implies that the differential pattern of impairment in schizophrenia patients can be explained without having to postulate impairment of specific processing modules for negative emotion recognition.

A Model to Estimate the Population Contributing to the Wastewater Using Samples Collected on Census Day

An important uncertainty when estimating per capita consumption of, for example, illicit drugs by means of wastewater analysis (sometimes referred to as “sewage epidemiology”) relates to the size and variability of the de facto population in the catchment of interest. In the absence of a day-specific direct population count any indirect surrogate model to estimate population size lacks a standard to assess associated uncertainties. Therefore, the objective of this study was to collect wastewater samples at a unique opportunity, that is, on a census day, as a basis for a model to estimate the number of people contributing to a given wastewater sample. Mass loads for a wide range of pharmaceuticals and personal care products were quantified in influents of ten sewage treatment plants (STP) serving populations ranging from approximately 3500 to 500 000 people. Separate linear models for population size were estimated with the mass loads of the different chemical as the explanatory variable: 14 chemicals showed good, linear relationships, with highest correlations for acesulfame and gabapentin. De facto population was then estimated through Bayesian inference, by updating the population size provided by STP staff (prior knowledge) with measured chemical mass loads. Cross validation showed that large populations can be estimated fairly accurately with a few chemical mass loads quantified from 24-h composite samples. In contrast, the prior knowledge for small population sizes cannot be improved substantially despite the information of multiple chemical mass loads. In the future, observations other than chemical mass loads may improve this deficit, since Bayesian inference allows including any kind of information relating to population size.

An approximate method for the solution of an influence function foil rolling model

Fleck and Johnson (Int. J. Mech. Sci. 29 (1987) 507) and Fleck et al. (Proc. Inst. Mech. Eng. 206 (1992) 119) have developed foil rolling models which allow for large deformations in the roll profile, including the possibility that the rolls flatten completely. However, these models require computationally expensive iterative solution techniques. A new approach to the approximate solution of the Fleck et al. (1992) Influence Function Model has been developed using both analytic and approximation techniques. The numerical difficulties arising from solving an integral equation in the flattened region have been reduced by applying an Inverse Hilbert Transform to get an analytic expression for the pressure. The method described in this paper is applicable to cases where there is or there is not a flat region.