6,267 research outputs found
Roger Abrahams, author
No full textRoger Abrahams, director of the African and Afro-American Research Institute at the University of Texas-Austin and author of Positively Black, argues the case for ethnic diversity in this interview. He also discusses that the idea of "new ethnicity" is not restricted to black or brown America and he sees a widespread return to old mores inherent in the traditional ethnic value system. Interviewed by WTMJ-TV host Jim Peck.GrayscaleSoun
Unlucky for Some : 13 poems by Roger McGough
No full textInspired by and featuring the poetry of Roger McGough (by permission of the author), Unlucky for Some is a spare, minimalistic work about homelessness, mental illness and class division performed entirely in slow motion.\ud
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This multimedia work also utilised prerecorded and live feed video and music, and experimented with synchronous and asynchonous live and mediatised performance
The school experiences of same-sex attracted students in the 14- to 19- year-old secondary sector in England: within and beyond the safety and tolerance framework
No full textThis article examines the social and political context within which lesbian, gay and bisexual (LGB) youth find themselves and, in doing so, a number of key issues are identified which have profound implications for the functions and responsibilities of schools in the United Kingdom. This article also considers how one secondary school and one Sixth Form College in south-east England are facilitating the gradual visibility of LGB students within a framework of safety and tolerance. In addition, attention is focussed on homophobic victimization identified by students and their experiences when disclosing sexual identity. Methods of data collection are outlined including focus groups with adolescent LGB identifying students, and a questionnaire survey distributed to 116 students (both heterosexual and LGB). Methodological issues are considered together with the difficulties of accessing same-sex attracted respondents and the ethical considerations which emerge as a consequence. Implications for policy and practice within the 14 to 19-year-old secondary sector and the possibility of moving beyond the framework of safety and tolerance are examined
On Bayesian Inference for Partially Observed Data
No full textWhen making predictions, analysing incomplete data from a medical trial or drawing inference from artificially altered data, one is required to make conditional probability statements concerning unobserved individuals or data. This thesis provides a collection of statistical techniques for inference when data is only partially observed. An efficient reversible jump Markov chain Monte Carlo algorithm for generalised linear models is constructed. This provides a formal framework for Bayesian prediction under model uncertainty. The construction of the algorithm is unique, relying on a simple and novel reversible jump transformation function. The resulting algorithm is easy to implement and requires no 'expert' knowledge. An inference framework for multivariate survey data subject to non-response is provided. Deviations from a 'close to ignorable' model are permitted through realistic a-priori changes in log-odds ratios. These a-priori deviations encode the prior belief that the non-response mechanism is non-ignorable. A current disclosure control technique is studied. This technique rounds partially observed data prior to release. A Bayesian assessment of this technique is given. This requires the construction of a Metropolis-Hastings algorithm, and the algorithms irreducibility is proven and discussed.EThOS - Electronic Theses Online ServiceGBUnited Kingdo
Oral history interview with Roger Panciera
No full textRoger Panciera graduated from the College of Veterinary Medicine at Oklahoma A&M College, now Oklahoma State University (OSU), in 1953 and served on the OSU veterinary school faculty 1956-2000. He discusses his time at OSU as both a student and as a faculty member. He recalls elements of student life and being mentored by various professors such as Dr. Krull. Panciera also talks about how the facilities improved through the years and about his research in parasitology and pathology.The O-STATE Stories Oral History collection is comprised of interviews which chronicle the rich history, heritage, and traditions of Oklahoma State University
Dr. Glendon Swarthout
No full textHosted by Roger M. Busfield, MSU Assistant Professor of Speech and Theater, Meet the Author is designed to introduce a general audience to a contemporary author and their work through in-depth interviews. This episode features a conversation between Dr. Glendon Swarthout, prolific author and English professor at MSU, and assistant professors Sam S. Baskett and Theodore B. Strandness
A Conversation with Roger Welsch
No full textIn this session, moderated by Barre Toelken and William A. "Bert" Wilson, audience members have the opportunity to discuss Roger Welsch's plenary lecture, and his other works and ideas, with the author
Robert Gill and boys looking at motorcycle
No full text''Roger Nehr, left, 14-year-old motor scooter operator, with Traffic Officer Robert Gill and Roger's brother, Jimmie Nehr, 13, admiring a James motorcycle, top prize in the ''rodeo.'' Roger is getting his entry blank for the ''Safety Rodeo.'
Bayesian assessment of rounding-based disclosure control
No full textIn this paper, we consider how the security of a disclosure control mechanism based on randomised, but uncontrolled, rounding can be assessed by Bayesian methods. We develop a methodology, based on Markov chain Monte Carlo, for estimating the conditional (posterior) probability distribution for the original cell counts given the released rounded values. An effective rounding-based disclosure control will result in high posterior uncertainty about the true value. Conversely, a posterior distribution concentrated on a single value provides evidence of ineffective disclosure control
Reversible jump methods for generalised linear models and generalised linear mixed models
No full textA reversible jump algorithm for Bayesian model determination among generalised linear models, under relatively diffuse prior distributions for the model parameters, is proposed. Orthogonal projections of the current linear predictor are used so that knowledge from the current model parameters is used to make effective proposals. This idea is generalised to moves of a reversible jump algorithm for model determination among generalised linear mixed models. Therefore, this algorithm exploits the full flexibility available in the reversible jump method. The algorithm is demonstrated via two examples and compared to existing methods
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