45,542 research outputs found
The campaign for democratic socialism 1960-1964.
No full textPhDIn early 1960 it seemed likely that the official Labour
Party defence policy would be defeated by a unilateralist
resolution at the Scarborough Conference. In response to
this possibility the Campaign for Democratic Socialism,
or CDS, was established.
The CDS projected the image of a grass-roots movement
inspired by Gaitskell's "fight and fight again" speech.
But it was run by a Campaign Committee which included
leading members of the Party like Tony Crosland, Roy
Jenkins and Patrick Gordon Walker, as well as less well
known members like Bill Rodgers, Dick Taverne, Philip
Williams, Brian Walden, Denis Howell and David Marquand.
This highly talented group launched an elaborate and
successful lobbying, publicity and briefing operation
which was influential in overturning the unilateralist
vote at the Blackpool Conference of 1961. After Blackpool
the Campaign helped many of its leading members find
seats in the House of Commons while continuing to put the
"revisionist" case through its newspaper Campaign.
The importance of the CDS in the history of the Labour
Party is, primarily, as the first internal pressure group
organised by the right of the Party. It was also the
first internal Party group to use such sophisticated
lobbying techniques. Moreover, the subsequent careers of
the leading members of the Campaign influenced the
development of the Labour Party. The CDS was an important
formative political action for many of them. Finally many
of the CDS supporters set-up or joined the SDP when it
was launched
Topics in complex systems
No full textThis thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.Fundamental laws of physics, although successful in explaining many phenomena observed in nature and society, cannot account for the behaviour of complex, non-Hamiltonian systems. Much effort has been devoted to better understanding the topological properties of these systems. Neither ordered nor disordered, these systems of high variability are found in many areas of science. Studies on sandpiles, earthquakes and lattice gases have all yielded evidence of complexity in the form of power law distributions. This scalefree characteristic is believed to be the hall-mark of complexity known as self-organised criticality. Systems in the self-organised critical state regulate themselves and are resistant to error and attacks. The aim of this thesis is to further current knowledge of complex systems by proposing and analysing
three models of real systems. Statistical mechanics and numerical simulations are used to analyse these models. The first model mimics herd behaviour in social groups and encompasses growth and addition. It has been found that when the growth rate is fast enough, the group size distribution conforms to a power law. When the growth rate is slow, the system runs out of free agents in finite time. The second model aims to capture the basic empirical measurements from hospital waiting lists. This model illustrates how the power law distributions found in empirical studies might arise, but also indicates that these distributions are unlikely to be caused by the preferential behaviour of patients or physicians. The third model is a salary comparison model; the salary distributions of most of its variants are power laws. Both mean field and 1-d versions of the model are analysed, and differences between the two versions are identified by looking at the mean absolute difference between the salaries in each version
Crossover to self-organized criticality in an inertial sandpile model
No full textWe introduce a one-dimensional sandpile model which incorporates particle inertia. The inertial dynamics are governed by a new parameter which, as it passes through a threshold value, alters the toppling dynamics in such a way that the system no longer evolves to a self-organized critical state. A range of mean-field theories based on a kinetic equation approach is presented which confirm the numerical findings. We conclude by considering the physical applications of this model, particularly with reference to recent experimental results
Complex scale-free networks with tunable power-law exponent and clustering
No full textThis article is made available through the Brunel Open Access Publishing Fund. It is distributed under a Creative Commons License (http://creativecommons.org/licenses/by/3.0/). Copyright @ 2013 Elsevier B.V.We introduce a network evolution process motivated by the network of citations in the scientific literature. In each iteration of the process a node is born and directed links are created from the new node to a set of target nodes already in the network. This set includes mm “ambassador” nodes and ll of each ambassador’s descendants where mm and ll are random variables selected from any choice of distributions plpl and qmqm. The process mimics the tendency of authors to cite varying numbers of papers included in the bibliographies of the other papers they cite. We show that the degree distributions of the networks generated after a large number of iterations are scale-free and derive an expression for the power-law exponent. In a particular case of the model where the number of ambassadors is always the constant mm and the number of selected descendants from each ambassador is the constant ll, the power-law exponent is (2l+1)/l(2l+1)/l. For this example we derive expressions for the degree distribution and clustering coefficient in terms of ll and mm. We conclude that the proposed model can be tuned to have the same power law exponent and clustering coefficient of a broad range of the scale-free distributions that have been studied empirically.EPSR
AUT766571_Lay_Abstract – Supplemental material for Meta-analysis of Big Five personality traits in autism spectrum disorder
No full textSupplemental material, AUT766571_Lay_Abstract for Meta-analysis of Big Five personality traits in autism spectrum disorder by Jennifer Lodi-Smith, Jonathan D Rodgers, Sara A Cunningham, Christopher Lopata and Marcus L Thomeer in Autism</p
sj-docx-1-pit-10.1177_15269248221087440 - Supplemental material for Evaluation of the Relationship between Medication Adherence and Tacrolimus Coefficient of Variation
No full textSupplemental material, sj-docx-1-pit-10.1177_15269248221087440 for Evaluation of the Relationship between Medication Adherence and Tacrolimus Coefficient of Variation by Abbie D. Leino, Karlis M. Abuls, John Killian L. Rodgers and Kristin K. Kuntz in Progress in Transplantation</p
AUT894824_Lay_Abstract – Supplemental material for Reliability and validity of teacher ratings on the Adapted Skillstreaming Checklist for children with autism spectrum disorder
No full textSupplemental material, AUT894824_Lay_Abstract for Reliability and validity of teacher ratings on the Adapted Skillstreaming Checklist for children with autism spectrum disorder by Christopher Lopata, James P Donnelly, Jonathan D Rodgers, Marcus L Thomeer and Adam J Booth in Autism</p
AUT766571_Supplementary_material_PRISMA_checklist – Supplemental material for Meta-analysis of Big Five personality traits in autism spectrum disorder
No full textSupplemental material, AUT766571_Supplementary_material_PRISMA_checklist for Meta-analysis of Big Five personality traits in autism spectrum disorder by Jennifer Lodi-Smith, Jonathan D Rodgers, Sara A Cunningham, Christopher Lopata and Marcus L Thomeer in Autism</p
AUT766571_Supplemental_Figures – Supplemental material for Meta-analysis of Big Five personality traits in autism spectrum disorder
No full textSupplemental material, AUT766571_Supplemental_Figures for Meta-analysis of Big Five personality traits in autism spectrum disorder by Jennifer Lodi-Smith, Jonathan D Rodgers, Sara A Cunningham, Christopher Lopata and Marcus L Thomeer in Autism</p
sj-docx-2-pit-10.1177_15269248221087440 - Supplemental material for Evaluation of the Relationship between Medication Adherence and Tacrolimus Coefficient of Variation
No full textSupplemental material, sj-docx-2-pit-10.1177_15269248221087440 for Evaluation of the Relationship between Medication Adherence and Tacrolimus Coefficient of Variation by Abbie D. Leino, Karlis M. Abuls, John Killian L. Rodgers and Kristin K. Kuntz in Progress in Transplantation</p
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