Evaluation of the Effectiveness of the Childhood Development Initiative's Mate-Tricks Pro-Social Behaviour After-School Programme

Mate-Tricks is an after-school programme designed to promote pro-social behaviour in Tallaght West (Dublin). Tallaght West has been designated as an area of particular social and economic disadvantage with high levels of unemployment. Mate-Tricks is a bespoke intervention that combines elements of two pro-social behaviour programmes: the Strengthening Families Program (SFP) and Coping Power Program (CPP). The programme is a one-year multi-session after-school programme comprising 59 children-only sessions, 6 parent-only sessions and 3 family sessions, with each session lasting 1½ hours.The intended outcomes of this programme are stated as follows in the Mate-Tricks manual: enhance children's pro-social development; reduce children's anti-social behaviour; develop children's confidence and self-esteem; improve children's problem-solving skills; improve child-peer interactions; develop reasoning and empathy skills; improve parenting skills; improve parent/child interaction. This evaluation reports on the pilot of this programme. Of the 21 outcomes investigated, 19 showed no significant differences between the children who attended Mate-Tricks and the control group. However, there were 2 statistically significant effects of the Mate-Tricks programme and 3 other effects that approached significance. The lack of effects and the few negative effects found in this study replicates findings in several recent studies of after-school behaviour programmes

Coping with noise in a real-world weblog crawler and retrieval system

In this paper we examine the effects of noise when creating a real-world weblog corpus for information retrieval. We focus on the DiffPost (Lee et al. 2008) approach to noise removal from blog pages, examining the difficulties encountered when crawling the blogosphere during the creation of a real-world corpus of blog pages. We introduce and evaluate a number of enhancements to the original DiffPost approach in order to increase the robustness of the algorithm. We then extend DiffPost by looking at the anchor-text to text ratio, and dis- cover that the time-interval between crawls is more impor- tant to the successful application of noise-removal algorithms within the blog context, than any additional improvements to the removal algorithm itself

An investigation of term weighting approaches for microblog retrieval

The use of effective term frequency weighting and document length normalisation strategies have been shown over a number of decades to have a significant positive effect for document retrieval. When dealing with much shorter documents, such as those obtained from microblogs, it would seem intuitive that these would have less benefit. In this paper we investigate their effect on microblog retrieval performance using the Tweets2011 collection from the TREC 2011 Microblog Track

How Journal Rankings can suppress Interdisciplinary Research – A Comparison between Innovation Studies and Business & Management

This study provides new quantitative evidence on how journal rankings can disadvantage interdisciplinary research during research evaluations. Using publication data, it compares the degree of interdisciplinarity and the research performance of innovation studies units with business and management schools in the UK. Using various mappings and metrics, this study shows that: (i) innovation studies units are consistently more interdisciplinary than business and management schools; (ii) the top journals in the Association of Business Schools’ rankings span a less diverse set of disciplines than lower ranked journals; (iii) this pattern results in a more favourable performance assessment of the business and management schools, which are more disciplinary-focused. Lastly, it demonstrates how a citation-based analysis challenges the ranking-based assessment. In summary, the investigation illustrates how ostensibly ‘excellence-based’ journal rankings have a systematic bias in favour of mono-disciplinary research. The paper concludes with a discussion of implications of these phenomena, in particular how resulting bias is likely to affect negatively the evaluation and associated financial resourcing of interdisciplinary organisations, and may encourage researchers to be more compliant with disciplinary authority.Interdisciplinary, Evaluation, Ranking, Innovation, Bibliometrics, REF

Topic-dependent sentiment analysis of financial blogs

While most work in sentiment analysis in the financial domain has focused on the use of content from traditional finance news, in this work we concentrate on more subjective sources of information, blogs. We aim to automatically determine the sentiment of financial bloggers towards companies and their stocks. To do this we develop a corpus of financial blogs, annotated with polarity of sentiment with respect to a number of companies. We conduct an analysis of the annotated corpus, from which we show there is a significant level of topic shift within this collection, and also illustrate the difficulty that human annotators have when annotating certain sentiment categories. To deal with the problem of topic shift within blog articles, we propose text extraction techniques to create topic-specific sub-documents, which we use to train a sentiment classifier. We show that such approaches provide a substantial improvement over full documentclassification and that word-based approaches perform better than sentence-based or paragraph-based approaches

Exploring the use of paragraph-level annotations for sentiment analysis of financial blogs

In this paper we describe our work in the area of topic-based sentiment analysis in the domain of financial blogs. We explore the use of paragraph-level and document-level annotations, examining how additional information from paragraph-level annotations can be used to increase the accuracy of document-level sentiment classification. We acknowledge the additional effort required to provide these paragraph-level annotations, and so we compare these findings against an automatic means of generating topic-specific sub-documents

CLARITY at the TREC 2011 microblog track

For the first year of the TREC Microblog Track the CLARITY group concentrated on a number of areas, investigating the underlying term weighting scheme for ranking tweets, incorporating query expansion to introduce new terms into the query, as well as introducing an element of temporal re-weighting based on the temporal distribution of assumed relevant microblogs

Manchester Climate Ready: developing progressive resilience across the city

This document details the strategy of the city to develop and embed adaptation and resilience across Manchester. It has been prepared by Dr Paul O’Hare, who was seconded to Manchester Climate Change Agency in 2021, and it has been discussed and agreed with the Adaptation and Resilience Advisory Group, which advises the Agency and the Manchester Climate Change Partnership