Scientists, trade unions and labour movement policies for science and technology, 1947-1964

This thesis describes the history of the scientific Left beginning with the period of its most extensive influence in the mid-1940s as a movement for the planning of science and ending with the Labour Party's programme of 1964 claiming to harness science and socialism. Its central theme is the external and internal pressures involved in the project to align left-wing politics, trade unions and social responsibility in science. The problematic aspects of this project are examined in the evolution of the Association of Scientific Workers and the World Federation of Scientific Workers as organisations committed to trade union and science policy objectives. This is presented also in the broader context of the Association's attempts to influence the Trade Union Congress's policies for science and technology in a more radical direction. The thesis argues that the shift in the balance of political forces in the labour movement, in the scientific community and in the state brought about by the Cold War was crucial in frustrating these endeavours. This led to alternative, but largely unsuccessful attempts, in the form of the Engels Society and subsequently Science for Peace to create the new expressions of the left-wing politics of science. However, the period 1956-1964 was characterised by intensive interest within the Labour Party in science and technology which reopened informal channels of political influence for the scientific Left. This was not matched by any radical renewal within the Association or the Trade Union Congress and thus took place on a narrower basis and lacked the democratic aspects of the earlier generation of socialist science policy.

Are school-of-thought words characterizable?

School of thought analysis is an important yet not-well-elaborated scientific knowledge discovery task. This paper makes the first attempt at this problem. We focus on one aspect of the problem: do characteristic school-of-thought words exist and whether they are characterizable? To answer these questions, we propose a probabilistic generative School-Of-Thought (SOT) model to simulate the scientific authoring process based on several assumptions. SOT defines a school of thought as a distribution of topics and assumes that authors determine the school of thought for each sentence before choosing words to deliver scientific ideas. SOT distinguishes between two types of school-of-thought words for either the general background of a school of thought or the original ideas each paper contributes to its school of thought. Narrative and quantitative experiments show positive and promising results to the questions raised above © 2013 Association for Computational Linguistics. © 2013 Association for Computational Linguistics.