'Where is the Fault?': The Starvation of Edward Cooper at the Isle of Wight Workhouse in 1877
In: Social history of medicine, Band 26, Heft 1, S. 21-37
ISSN: 1477-4666
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In: Social history of medicine, Band 26, Heft 1, S. 21-37
ISSN: 1477-4666
Non-Traditional Learning Spaces (NTLS) boasting innovative building designs that embody an array of modern technology, visually and functionally sever schooling practices from the factory model, suggesting a reconceptualisation of what it is to 'do school' at the level of research and practice. This process of reconceptualisation includes reconceptualised pedagogical practice, and the development by students of spatial competency. In this regard, 'student agency' plays a significant role. For some years now, student agency has been prioritised by education policymakers and reformers alike, and it is a concept that has become central to questions relating to teacher practice and student life in NTLS. In this article, agency is construed as a contestable, politically domesticated construct that is reduced to student engagement with prescribed, mainstream and 'official' educational processes. We argue, instead, that the notion of student agency be taken beyond this sanitised usage, so that the broader complexity of agentic practices be understood. Understanding student agentic practice in NTLS is a critical dimension of the overall aim of more rigorously theorising spatiality, and in this article, we begin the task of considering how student agentic practices can be included in achieving that aim. Therefore, we discuss and explore the complexities of agentic student behaviour, considering where it is located in the complex relationship between the development of student spatial competence and mere compliance in NTLS.
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The Military Health Service System (MHSS) provides health care for the Department of Defense (DOD). This system operates on an annual budget of $15 Billion, supports 127 medical treatment facilities (MTFs) and 500 clinics, and provides support to 8.7 million beneficiaries worldwide. To support these facilities and their patients, the MHSS uses more than 125 different networked automated medical systems. These systems rely on a heterogeneous telecommunications infrastructure for data communications. With the support of the Defense Medical Information Management (DMIM) Program Office, our goal was to identify the network requirements for DMIM migration and target systems and design a communications infrastructure to support all systems with an integrated network. This work used tools from Business Process Reengineering (BPR) and applied it to communications infrastructure design for the first time. The methodology and results are applicable to any health care enterprise, military or civilian.
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Objectives: To evaluate the impact of government HIV strategies that aimed to increase HIV testing uptake and frequency among gay and bisexual men (GBM) in New South Wales (NSW), Australia. Design: We analysed HIV testing data from existing passive and sentinel surveillance systems between 2010 and 2018. Methods: Six indicators were measured: (1) state-wide total HIV laboratory tests; (2) number of GBM attending publicly-funded clinics; (3) 12-monthly testing uptake; (4) annual testing frequency; (5) HIV testing with a STI diagnosis; and (6) HIV positivity. Mathematical modelling was used to estimate (7) the proportion of men with undiagnosed HIV. Indicators were stratified by Australian vs. overseas-born. Results: Overall, 43,560 GBM attended participating clinics (22,662 Australian-born, 20,834 overseas-born) from 2010-2018. Attendees increased from 5,186 in 2010 to 16,507 in 2018. There were increasing trends (p<0.001 for all) in testing uptake (83.9% to 95.1%); testing with a STI diagnosis (68.7% to 94.0%); annual HIV testing frequency (1.4 to 2.7); and a decreasing trend (p<0.01) in HIV positivity (1.7% to 0.9%).Increases in testing were similar in Australian-born and overseas-born GBM. However, there were decreasing trends in the estimated undiagnosed HIV proportion overall (9.5% to 7.7%) and in Australian-born GBM (7.1% to 2.8%), but an increasing trend in overseas-born GBM (15.3% to 16.9%) (p<0.001 for all).
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