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Shana Vijayan Thesis.Pdf
Performance Anxiety: The nature of performance management in the NHS under New Labour Shana Vijayan Thesis submitted for the degree of Doctor of Philosophy Department of Science and Technology Studies University College London 0 Declaration I, Shana Vijayan, confirm that the work presented in this thesis is my own. Where information has been derived from other sources, I confirm that this has been indicated in the thesis. 1 Abstract This thesis explores both the proliferation and prominence of ‘performance’ in the NHS, focusing on the New Labour years from 1997-2010. The research’s main objective was to understand how performance policy impacts the work-place experience: to understand the nature of work undertaken by performance managers, the tools used and the effect of these techniques. The secondary objective was to understand the goals of performance management. The introduction and rise of performance saw a change in expert authority. A new set of professionals had arrived in the NHS: regulators, auditors and performance managers. This thesis looks at the performance managers’ body of expertise, drawing upon several forms of qualitative research. The primary research tool used was institutional ethnography, which included focused interviews, a case study and experiences and notes gathered during a period based as a participant in NHS organisations. Documentary analysis carried out in the first phase of this thesis revealed that the principal rhetoric employed by politicians concerned the function of performance management in reducing risk and harm to patients. However, further research based on interviews and ethnography suggests that performance was experienced as a process of rationalisation and stigma, with risk rarely mentioned in the same way as in policy documents. -
Chapter III the Poverty of Poverty Measurement
45 Chapter III The poverty of poverty measurement Measuring poverty accurately is important within the context of gauging the scale of the poverty challenge, formulating policies and assessing their effectiveness. However, measurement is never simply a counting and collating exercise and it is necessary, at the outset, to define what is meant by the term “poverty”. Extensive problems can arise at this very first step, and there are likely to be serious differences in the perceptions and motivations of those who define and measure poverty. Even if there is some consensus, there may not be agreement on what policies are appropriate for eliminating poverty. As noted earlier, in most developed countries, there has emerged a shift in focus from absolute to relative poverty, stemming from the realization that the perception and experience of poverty have a social dimension. Although abso- lute poverty may all but disappear as countries become richer, the subjective perception of poverty and relative deprivation will not. As a result, led by the European Union (EU), most rich countries (with the notable exception of the United States of America), have shifted to an approach entailing relative rather than absolute poverty lines. Those countries treat poverty as a proportion, say, 50 or 60 per cent, of the median per capita income for any year. This relative measure brings the important dimension of inequality into the definition. Alongside this shift in definition, there has been increasing emphasis on monitoring and addressing deficits in several dimensions beyond income, for example, housing, education, health, environment and communication. Thus, the prime concern with the material dimensions of poverty alone has expanded to encompass a more holistic template of the components of well-being, includ- ing various non-material, psychosocial and environmental dimensions. -
The Role of the ADRN Governing Board, David Hand
The Role of the ADRN Governing Board Professor David Hand Chair of the Administrative Data Research Network Board 1 Responses to the ADTF recommendation to establish a UK Governing Board to provide the governance structure for the ADRCs Government Response (14 June 2013) “The Government supports the principle of the Governing Board reporting to Parliament via an independent body ... we agree that the UK Statistics Authority could be well placed to provide appropriate oversight.” UK Statistics Authority Response (12 November 2013) “… the Board of the Statistics Authority discussed the extent of progress in establishing the Administrative Data Research Network and … formally agreed to proposals for the Authority’s governance role in relation to the ADRN ...” 2 Key functions of the Governing Board: R1.8: Strategy • Leadership • Guidance on ethical standards, international experience, methodology, security, legal aspects, etc • Enablement • Project approvals panel includes a Board member • Encourage collaboration across the ADRCs R1.9: Accountability • Report annually to UKSA on • Performance of the ADRN • Governance of the ADRN 3 Further recommendations: R1.10 “An important part of the work of the ADRCs will be to” • Monitor legality, viability, and technical feasibility of proposals • Ensure research skills • The ADS acting as a portal to the network (the “Information Gateway”) R1.11 • “At an early stage, [the Board should] investigate guidelines for access and linkage by private sector interests, as well as commissioning public engagement -
JSM 2009: Playlater
June 2009 • Issue #384 AMSTAT The Membership Magazine of the American Statistical AssociationNEWS • www.amstat.org/publications/amsn JSM 2009: Plan Now Play Later ALSO: ASA Endorses CNSTAT’s Principles and Practices for Federal Statistical Agency NCSU, UM Honored for Bringing Minorities into Publications Agreement No. 41544521 Mathematics B AMSTAT NEWS JUNE 2009 JUNE 2009 • Issue #384 Executive Director Ron Wasserstein: [email protected] Associate Executive Director and Director of Operations F EATURES Stephen Porzio: [email protected] Director of Programs 3 President’s Invited Column Martha Aliaga: [email protected] 5 Board Highlights Director of Science Policy Steve Pierson: [email protected] 6 Extra! Extra! Managing Editor 8 2009 AsA Audit Report Megan Murphy: [email protected] 13 NCsU, UM Honored for Bringing Minorities into Production Coordinators/Graphic Designers Mathematics Melissa Muko: [email protected] Lidia Vigyázó: [email protected] 14 AsA Endorses CNsTAT’s Principles and Practices for Federal statistical Agency Publications Coordinator Val Snider: [email protected] 15 Caucus for Women in statistics to Host Breakfast Advertising Manager During JsM Claudine Donovan: [email protected] 16 Algorithmic, statistical Challenges in Data Analysis Contributing Staff Members Focus of MMDs 2009 Amy Farris • Rick Peterson • Eric Sampson Kathleen Wert • Elizabeth Shwaery Amstat News welcomes news items and letters from readers on matters of interest to the association and the profession. Address correspondence Caucus for Women in to Managing Editor, Amstat News, American Statistical Association, 732 North Washington Street, Alexandria VA 22314-1943 USA, or email statistics to Host Breakfast [email protected]. Items must be received by the first day of the preced- During JsM ing month to ensure appearance in the next issue (for example, June 1 for p. -
Minutes of the 31 Meeting of the GSS Methodology Advisory Committee
Minutes of the 31st Meeting of the GSS Methodology Advisory Committee 24th May 2016 Drummond Gate, London Hosted by the Office for National Statistics 1 GSS MAC 31 Minutes Contents 1.0 List of Attendees .......................................................................................................... 3 2.0 Administration .............................................................................................................. 5 2.1 ONS and GSS news ................................................................................................ 5 2.2 Methodology news ................................................................................................... 5 2.3 Minutes and progress from GSS MAC 30 ................................................................ 5 3.0 Papers presented ........................................................................................................ 6 3.1 Paper 1: Developing an approach to addressing potential discontinuities in the new National Survey for Wales .............................................................................................. 6 3.2 Paper 2: 2021 Census Coverage Adjustment Methodology ..................................... 9 4.0 Project updates.......................................................................................................... 12 4.1 Plans for use of administrative data ....................................................................... 12 4.2 Update on Big Data and Classifying web scraped data using machine learning .... -
Detailed Course Outline
Ninth International Conference in Computer Vision ( ICCV ), Nice 2003. Short Course : Learning and Inference in Vision: Generative Methods (3½ hours). Presenters: Bill Freeman (MIT AI Laboratory) and Andrew Blake (Microsoft Research Cambridge) (0) Intro – roadmap for learning and inference in vision (1) Bayesian inference introduction; integration of sensory data applications: color constancy, Bayes Matte (2) Learning and inference in temporal and spatial Markov processes Techniques: 2.1 PCA, FA, TCA : inference – linear (Wiener) filter learning: by Expectation Maximization (EM); (tutorial: EM for 2-line fitting) applications: face simulation, denoising, Weiss’s intrinsic images and furthermore: Active Appearance Models, Simoncelli, ICA & non-Gaussianity, filter banks 2.2 Markov chain & HMM : inference: - MAP by Dynamic Programming, Forward and Forward-Backward (FB) algorithms; learning: by EM – Baum-Welch; representations: pixels, patches applications: stereo vision and furthermore: gesture models (Bobick-Wilson) 2.3 AR models : Inference: Kalman-Filter, Kalman Smoother, Particle Filter; learning: by EM-FB; representations: patches, curves, chamfer maps, filter banks applications: tracking (Isard-Blake, Black-Sidenbladh, El Maraghi-Jepson-Fleet); Fitzgibbon-Soatto textures and furthermore: EP 2.4 MRFs: Inference: ICM, Loopy Belief Propagation (BP), Generalised BP, Graph Cuts; Parameter learning : Pseudolikelihood maximisation; representations: color pixels, patches applications: Texture segmentation, super resolution (Freeman-Pasztor), distinguishing shading from paint and furthermore: Gibbs sampling, Discriminative Random Field (DRF) 2.5 Bayes network: Inference : Belief Propagation (BP) Parameter learning : Pseudolikelihood maximisation; applications: scene context analysis: combine top down with bottom up (Murphy et al) 2.6 Markov network: Inference : MCMC applications: low level segmentation (Zhu et al.) (3) Summary and finish Biographies of Presenters. -
Art and the Crisis of the European Welfare State Addresses Contemporary Art in the Context of Changing European Welfare States
UNIVERSITY OF CALIFORNIA, SAN DIEGO No Such Thing as Society: Art and the Crisis of the European Welfare State A dissertation submitted in partial satisfaction of the requirements for the degree of Doctor of Philosophy in Art History, Theory and Criticism by Sarah Elsie Lookofsky Committee in charge: Professor Norman Bryson, Co-Chair Professor Lesley Stern, Co-Chair Professor Marcel Hénaff Professor Grant Kester Professor Barbara Kruger 2009 Copyright Sarah Elsie Lookofsky, 2009 All rights reserved. The Dissertation of Sarah Elsie Lookofsky is approved, and it is acceptable in quality and form for publication on microfilm and electronically: Co-Chair Co-Chair University of California, San Diego 2009 iii Dedication For my favorite boys: Daniel, David and Shannon iv Table of Contents Signature Page…….....................................................................................................iii Dedication.....................................................................................................................iv Table of Contents..........................................................................................................v Vita...............................................................................................................................vii Abstract……………………………………………………………………………..viii Chapter 1: “And, You Know, There Is No Such Thing as Society.” ....................... 1 1.1 People vs. Population ............................................................................... 2 1.2 Institutional -
The Labour Party and the Idea of Citizenship, C. 193 1-1951
The Labour Party and the Idea of Citizenship, c. 193 1-1951 ABIGAIL LOUISA BEACH University College London Thesis presented for the degree of PhD University of London June 1996 I. ABSTRACT This thesis examines the development and articulation of ideas of citizenship by the Labour Party and its sympathizers in academia and the professions. Setting this analysis within the context of key policy debates the study explores how ideas of citizenship shaped critiques of the relationships between central government and local government, voluntary groups and the individual. Present historiographical orthodoxy has skewed our understanding of Labour's attitude to society and the state, overemphasising the collectivist nature and centralising intentions of the Labour party, while underplaying other important ideological trends within the party. In particular, historical analyses which stress the party's commitment from the 1930s to achieving the transition to socialism through a strategy of planning, (of industrial development, production, investment, and so on), have generally concluded that the party based its programme on a centralised, expert-driven state, with control removed from the grasp of the ordinary people. The re-evaluation developed here questions this analysis and, fundamentally, seeks to loosen the almost overwhelming concentration on the mechanisms chosen by the Labour for the implementation of policy. It focuses instead on the discussion of ideas that lay behind these policies and points to the variety of opinions on the meaning and implications of social and economic planning that surfaced in the mid-twentieth century Labour party. In particular, it reveals considerable interest in the development of an active and participatory citizenship among socialist thinkers and politicians, themes which have hitherto largely been seen as missing elements in the ideas of the interwar and immediate postwar Labour party. -
Statistics Making an Impact
John Pullinger J. R. Statist. Soc. A (2013) 176, Part 4, pp. 819–839 Statistics making an impact John Pullinger House of Commons Library, London, UK [The address of the President, delivered to The Royal Statistical Society on Wednesday, June 26th, 2013] Summary. Statistics provides a special kind of understanding that enables well-informed deci- sions. As citizens and consumers we are faced with an array of choices. Statistics can help us to choose well. Our statistical brains need to be nurtured: we can all learn and practise some simple rules of statistical thinking. To understand how statistics can play a bigger part in our lives today we can draw inspiration from the founders of the Royal Statistical Society. Although in today’s world the information landscape is confused, there is an opportunity for statistics that is there to be seized.This calls for us to celebrate the discipline of statistics, to show confidence in our profession, to use statistics in the public interest and to champion statistical education. The Royal Statistical Society has a vital role to play. Keywords: Chartered Statistician; Citizenship; Economic growth; Evidence; ‘getstats’; Justice; Open data; Public good; The state; Wise choices 1. Introduction Dictionaries trace the source of the word statistics from the Latin ‘status’, the state, to the Italian ‘statista’, one skilled in statecraft, and on to the German ‘Statistik’, the science dealing with data about the condition of a state or community. The Oxford English Dictionary brings ‘statistics’ into English in 1787. Florence Nightingale held that ‘the thoughts and purpose of the Deity are only to be discovered by the statistical study of natural phenomena:::the application of the results of such study [is] the religious duty of man’ (Pearson, 1924). -
1 Main Panel a 1 Clinical Medicine 2 Public Health, Health Services
Main Panel A 1 Clinical Medicine 2 Public Health, health services and Primary Care 3 Allied Health Professions, Dentistry, Nursing and Pharmacy 4 Psychology, Psychiatry and Neuroscience 5 Biological Services 6 Agriculture, Food and Veterinary Sciences Main Panel B 7 Earth Systems and Environmental Sciences 8 Chemistry 9 Physics 10 Mathematical Sciences 11 Computer Sciences 12 Engineering Main Panel C 13 Architecture, Built Environment and Planning 14 Geography and Environmental Studies 15 Archaeology 16 Economics and Econometrics 17 Business and Management Studies 18 Law 19 Politics and International Studies 20 Social Work and Social Policy 21 Sociology 22 Anthropology and Development Studies 23 Education 24 Sport and Exercise Sciences, Leisure and Tourism Main Panel D 25 Area Studies 26 Modern Languages and Linguistics 27 English Language and Literature 28 History 29 Classics 30 Philosophy 31 Theology and Religious Studies 32 Art and Design: History, Practice and Theory 33 Music, Drama, Dance, performing Arts, Film and Screen Studies 34 Communication, Cultural and Media Studies, Library and Information Management 1 * denotes interdisciplinary member on a main panel, and interdisciplinary adviser on a sub-panel Main Panel A Chair Professor John Iredale University of Bristol Members Professor Doreen Cantrell University of Dundee Professor Peter Clegg University of Liverpool Professor David Crossman Chief Scientist Scottish Government Professor Dame Anna Dominiczak* University of Glasgow Professor Paul Elliott Imperial College London Professor -
Rethinking Poverty Report on the World Social Situation 2010
ST/ESA/324 Department of Economic and Social Affairs Rethinking Poverty Report on the World Social Situation 2010 asdf United Nations New York, 2009 Department of Economic and Social Affairs The Department of Economic and Social Affairs of the United Nations Secretariat is a vital interface between global policies in the economic, social and environmental spheres and national action. The Department works in three main interlinked areas: (i) it compiles, generates and analyses a wide range of economic, social and environ- mental data and information on which States Members of the United Nations draw to review common problems and to take stock of policy options; (ii) it facilitates the negotiations of Member States in many intergovernmental bodies on joint courses of action to address ongoing or emerging global challenges; and (iii) it advises interested Governments on the ways and means of translation policy frameworks developed in United Nations conferences and summits into programmes at the country level and, through technical assistance, helps build national capacities. Note The designations employed and the presentation of the material in the present publication do not imply the expression of any opinion whatsoever on the part of the Secretariat of the United Nations concerning the legal status of any country or territory or of its authorities, or concerning the delimitations of its frontiers. The term “country” as used in the text of this report also refers, as appropriate, to territories or areas. The designations of country groups in the text and the tables are intended solely for statistical or analytical convenience and do not necessarily express a judge- ment about the stage reached by a particular country or area in the development process. -
Spatio-Temporal Point Processes: Methods and Applications Peter J
Johns Hopkins University, Dept. of Biostatistics Working Papers 6-27-2005 Spatio-temporal Point Processes: Methods and Applications Peter J. Diggle Medical Statistics Unit, Lancaster University, UK & Department of Biostatistics, Johns Hopkins Bloomberg School of Public Health, [email protected] Suggested Citation Diggle, Peter J., "Spatio-temporal Point Processes: Methods and Applications" (June 2005). Johns Hopkins University, Dept. of Biostatistics Working Papers. Working Paper 78. http://biostats.bepress.com/jhubiostat/paper78 This working paper is hosted by The Berkeley Electronic Press (bepress) and may not be commercially reproduced without the permission of the copyright holder. Copyright © 2011 by the authors Spatio-temporal Point Processes: Methods and Applications Peter J Diggle (Department of Mathematics and Statistics, Lancaster University and Department of Biostatistics, Johns Hopkins University School of Public Health) June 27, 2005 1 Introduction This chapter is concerned with the analysis of data whose basic format is (xi; ti) : i = 1; :::; n where each xi denotes the location and ti the corresponding time of occurrence of an event of interest. We shall assume that the data form a complete record of all events which occur within a pre-specified spatial region A and a pre-specified time- interval, (0; T ). We call a data-set of this kind a spatio-temporal point pattern, and the underlying stochastic model for the data a spatio-temporal point process. 1.1 Motivating examples 1.1.1 Amacrine cells in the retina of a rabbit One general approach to analysing spatio-temporal point process data is to extend existing methods for purely spatial data by considering the time of occurrence as a distinguishing feature, or mark, attached to each event.