Vision and Virtuality:The Construction of Narrative Space in Film and Computer Games

This paper seeks to explore the construction of narrative space in 3D PC computer games. With reference to Stephen Heath’s theory of filmic narrative space, the paper will examine how computer games, based on the rendition of a continuous 3D, real-time interactive environment, construct a distinct mode of narrativisation. The dynamic imbrication of the manipulation of 3D objects in a virtual world and the (re)presentation of this virtual mise-en-scene constitute an interaction that affects the concept of narrative in computer games. This leads to several questions that the paper seeks to investigate: How does the construction of space in PC games contribute to the meaning-making process or the gamer’s experience of narrative? How then is this experience of narrative game-space different from that of film?

Employer occupation of regulatory space of the Employee Information and Consultation (I&C) Directive in liberal market economies

This article shows how both employers and the state have influenced macro-level processes and structures concerning the content and transposition of the European Union (EU) Employee Information and Consultation (I&C) Directive. It argues that the processes of regulation occupied by employers reinforce a voluntarism which marginalizes rather than shares decision-making power with workers. The contribution advances the conceptual lens of ‘regulatory space’ by building on Lukes’ multiple faces of power to better understand how employment regulation is determined across transnational, national and enterprise levels. The research proposes an integrated analytical framework on which ‘occupancy’ of regulatory space can be evaluated in comparative national contexts.

Beyond Divided Territory::How Changing Understandings of Public Space in Northern Ireland can Facilitate New Identity Dynamics

The sectarian geography of Northern Ireland, whereby the majority of the population live in areas predominated by one religion or the other, is typically assumed to straightforwardly reflect the territorial identities of local residents. This conflation of place and identity neglects the role of place in actively shaping and changing the behaviours occurring within them. The present paper uses new developments in the area of social psychology to examine three case studies of place identity in Northern Ireland and explore the possibilities for change. A large scale survey of the display of flags and emblems across Northern Ireland demonstrates the extent of visible ter-ritorialisation, but also the relationship between understandings of space and the acceptability of these displays. Secondly, analysis of interviews with the Orange Or-der and nationalist residents concerning the Drumcree dispute illustrates how differ-ent constructions of space are used to claim and counterclaim rights to display iden-tity. Finally analysis of media and interview accounts of the St Patrick’s Day event in Belfast illustrate how new understandings of shared space can negate territorial identities and facilitate coexistence in the same place and facilitate good relations.

Documents and Dependencies: an Exploration of Vector Space Models for Semantic Composition

In most previous research on distributional semantics, Vector Space Models (VSMs) of words are built either from topical information (e.g., documents in which a word is present), or from syntactic/semantic types of words (e.g., dependency parse links of a word in sentences), but not both. In this paper, we explore the utility of combining these two representations to build VSM for the task of semantic composition of adjective-noun phrases. Through extensive experiments on benchmark datasets, we find that even though a type-based VSM is effective for semantic composition, it is often outperformed by a VSM built using a combination of topic- and type-based statistics. We also introduce a new evaluation task wherein we predict the composed vector representation of a phrase from the brain activity of a human subject reading that phrase. We exploit a large syntactically parsed corpus of 16 billion tokens to build our VSMs, with vectors for both phrases and words, and make them publicly available.