Adapting to change in contemporary Irish and Scottish culture: fiction to film

Abstract available: p. [ii]-[iii].

Film policy in practice: a case study of Scottish Screen’s funding schemes

This thesis examines cultural policy for film in Scotland, from 1997 to 2010. It explores the extent to which the industry is shaped by film policy strategies and through the agency of public funding bodies. It reflects on how Scottish Screen, Scotland’s former screen agency, articulated its role as a national institution concerned with both commercial and cultural remits, with the conflicting interests of different industry groups. The study examines how the agency developed funding schemes to fulfil policy directives during a tumultuous period in Scottish cultural policy history, following the establishment of the Scottish Parliament with the Scotland Act 1998 and preceding the Independence Referendum Act 2013. In order to investigate how policy has shaped the development of a national film industry, a further two case studies are explored. These are Tartan Shorts, Scotland’s former flagship short film scheme, and the Audience Development Fund, Scotland’s first project based film exhibition scheme. The first study explores the planning, implementation and evaluation of the scheme as part of the agency’s talent development strategy. The outcomes of this study show the potential impact of funding methods aimed at developing and retaining Scottish filmmaking talent. Thereafter, the Scottish exhibition sector is discussed; a formerly unexplored field within film policy discussions and academic debate. It outlines Scottish Screen’s legacy to current film exhibition funding practices and the practical mechanisms the agency utilised to foster Scottish audiences. By mapping the historical and political terrain, the research analyses the specificity of Scotland within the UK context and explores areas in which short-term, context-driven policies become problematic. The work concludes by presenting the advantages and issues caused by film funding practices, advocating what is needed for the film industry in Scotland today with suggestions for long-term and cohesive policy development.

Subtitling Chinese cinema: a case study of Zhang Yimou’s films

In recent years, more and more Chinese films have been exported abroad. This thesis intends to explore the subtitling of Chinese cinema into English, with Zhang Yimou’s films as a case study. Zhang Yimou is arguably the most critically and internationally acclaimed Chinese filmmaker, who has experimented with a variety of genres of films. I argue that in the subtitling of his films, there is an obvious adoption of the domestication translation strategy that reduces or even omits Chinese cultural references. I try to discover what cultural categories or perspectives of China are prone to the domestication of translation and have formulated five categories: humour, politeness, dialect, history and songs and the Peking Opera. My methodology is that I compare the source Chinese dialogue lines with the existing English subtitles by providing literal translations of the source lines, and I will also give my alternative translations that tend to retain the source cultural references better. I also speculate that the domestication strategy is frequently employed by subtitlers possibly because the subtitlers assume the source cultural references are difficult for target language subtitle readers to comprehend, even if they are translated into a target language. However, subtitle readers are very likely to understand more than what the dialogue lines and the target language subtitles express, because films are multimodal entities and verbal information is not the only source of information for subtitle readers. The image and the sound are also significant sources of information for subtitle readers who are constantly involved in a dynamic film-watching experience. They are also expected to grasp visual and acoustic information. The complete omission or domestication of source cultural references might also affect their interpretation of the non-verbal cues. I also contemplate that the translation, which frequently domesticates the source culture carried out by a translator who is also a native speaker of the source language, is ‘submissive translation’.

Query routing in cooperative semi-structured peer-to-peer information retrieval networks

Conventional web search engines are centralised in that a single entity crawls and indexes the documents selected for future retrieval, and the relevance models used to determine which documents are relevant to a given user query. As a result, these search engines suffer from several technical drawbacks such as handling scale, timeliness and reliability, in addition to ethical concerns such as commercial manipulation and information censorship. Alleviating the need to rely entirely on a single entity, Peer-to-Peer (P2P) Information Retrieval (IR) has been proposed as a solution, as it distributes the functional components of a web search engine – from crawling and indexing documents, to query processing – across the network of users (or, peers) who use the search engine. This strategy for constructing an IR system poses several efficiency and effectiveness challenges which have been identified in past work. Accordingly, this thesis makes several contributions towards advancing the state of the art in P2P-IR effectiveness by improving the query processing and relevance scoring aspects of a P2P web search. Federated search systems are a form of distributed information retrieval model that route the user’s information need, formulated as a query, to distributed resources and merge the retrieved result lists into a final list. P2P-IR networks are one form of federated search in routing queries and merging result among participating peers. The query is propagated through disseminated nodes to hit the peers that are most likely to contain relevant documents, then the retrieved result lists are merged at different points along the path from the relevant peers to the query initializer (or namely, customer). However, query routing in P2P-IR networks is considered as one of the major challenges and critical part in P2P-IR networks; as the relevant peers might be lost in low-quality peer selection while executing the query routing, and inevitably lead to less effective retrieval results. This motivates this thesis to study and propose query routing techniques to improve retrieval quality in such networks. Cluster-based semi-structured P2P-IR networks exploit the cluster hypothesis to organise the peers into similar semantic clusters where each such semantic cluster is managed by super-peers. In this thesis, I construct three semi-structured P2P-IR models and examine their retrieval effectiveness. I also leverage the cluster centroids at the super-peer level as content representations gathered from cooperative peers to propose a query routing approach called Inverted PeerCluster Index (IPI) that simulates the conventional inverted index of the centralised corpus to organise the statistics of peers’ terms. The results show a competitive retrieval quality in comparison to baseline approaches. Furthermore, I study the applicability of using the conventional Information Retrieval models as peer selection approaches where each peer can be considered as a big document of documents. The experimental evaluation shows comparative and significant results and explains that document retrieval methods are very effective for peer selection that brings back the analogy between documents and peers. Additionally, Learning to Rank (LtR) algorithms are exploited to build a learned classifier for peer ranking at the super-peer level. The experiments show significant results with state-of-the-art resource selection methods and competitive results to corresponding classification-based approaches. Finally, I propose reputation-based query routing approaches that exploit the idea of providing feedback on a specific item in the social community networks and manage it for future decision-making. The system monitors users’ behaviours when they click or download documents from the final ranked list as implicit feedback and mines the given information to build a reputation-based data structure. The data structure is used to score peers and then rank them for query routing. I conduct a set of experiments to cover various scenarios including noisy feedback information (i.e, providing positive feedback on non-relevant documents) to examine the robustness of reputation-based approaches. The empirical evaluation shows significant results in almost all measurement metrics with approximate improvement more than 56% compared to baseline approaches. Thus, based on the results, if one were to choose one technique, reputation-based approaches are clearly the natural choices which also can be deployed on any P2P network.