961 resultados para gender policies
Resumo:
Two complementary explanations have been offered by social psychologists to account for the universal hold of national identity, first that national identity is ideologically assumed, as it forms the ‘banal’ background of everyday life, and second that national identity is ‘hotly’ constructed and contested in political and everyday settings to great effect. However, ‘banal’ and ‘hot’ aspects of national identity have been found to be distributed unevenly across national and subnational groups and banality itself can be strategically used to distinguish between different groups. The present paper develops these ideas by examining possible reasons for these different modes and strategies of identity expression. Drawing upon intergroup theories of minority and majority relations, we examine how a group who see themselves unequivocally as a minority, Irish Travellers, talk about their national identity in comparison to an age and gender-matched sample of Irish students. We find that Travellers proactively display and claim ‘hot’ national identity in order to establish their Irishness. Irish students ‘do banality’, police the boundaries and reputation of Irishness, and actively reject and disparage proactive displays of Irishness. The implications for discursive understandings of identity, the study of intra-national group relations and policies of minority inclusion are discussed.
Resumo:
Two field studies demonstrated that majority and minority size moderate perceived group variability. In Study 1 we found an outgroup homogeneity (OH) effect for female nurses in the majority, but an ingroup homogeneity (IH) effect for a token minority of male nurses. In Study 2 we found similar effects in a different setting - an OH effect for policemen in the majority and an IH effect for policewomen in the minority. Although measures of visibility, status, and, especially, familiarity tended to show the same pattern as perceived variability, there was no evidence that they mediated perceived dispersion. Results are discussed in terms of group size, rather than gender, being moderators of perceived variability, and with reference to Kanter's (1977a, 1977b) theory of group proportions.
Resumo:
Much current cultural policy research focuses on activity traditionally viewed as arts practice: visual arts, music, literature and dance. Architecture’s role in the discussion of cultural policy is, however, less certain and thus less frequently interrogated. The study presented here both addresses this dearth of in-depth research while also contributing to the interdisciplinary discussion of cultural policy in wider terms. In seeking to better understand how architectural culture is regulated and administered in a specific case study, it unpacks how the complicated relationships of nominal and explicit policies on both sides of the Irish/Northern Irish border contributed to the significant expansion of arts-based buildings 1995-2008. It contrasts political and cultural motivations behind these projects during a period of significant economic growth, investment and inward immigration. Data has been gathered from both official published policies as well as interviews with elite actors in the decision-making field and architects who produced the buildings of interest in both countries. With the sizeable number of arts-based buildings now completed in both Republic of Ireland and Northern Ireland, one must wonder if this necklace of buildings is, like Jocasta’s, a thing of both beauty and redolent with a potential future curse. It is the goal of this project to contribute to the larger applied and critical discussion of these issues and to engage with future policy design, administration and, certainly, evaluation.
Resumo:
Automatic gender classification has many security and commercial applications. Various modalities have been investigated for gender classification with face-based classification being the most popular. In some real-world scenarios the face may be partially occluded. In these circumstances a classification based on individual parts of the face known as local features must be adopted. We investigate gender classification using lip movements. We show for the first time that important gender specific information can be obtained from the way in which a person moves their lips during speech. Furthermore our study indicates that the lip dynamics during speech provide greater gender discriminative information than simply lip appearance. We also show that the lip dynamics and appearance contain complementary gender information such that a model which captures both traits gives the highest overall classification result. We use Discrete Cosine Transform based features and Gaussian Mixture Modelling to model lip appearance and dynamics and employ the XM2VTS database for our experiments. Our experiments show that a model which captures lip dynamics along with appearance can improve gender classification rates by between 16-21% compared to models of only lip appearance.