4 resultados para Cultural analysis and technologies
em Aston University Research Archive
Resumo:
Addressing inconsistencies in relational demography research, we examine the relationship between cultural dissimilarity and individual performance through the lens of social self-regulation theory, which extends the social identity perspective in relational demography with the analysis of social self-regulation. We propose that social self-regulation in culturally diverse teams manifests itself as performance monitoring (i.e., individuals' actions to meet team performance standards and peer expectations). Contingent on the status associated with individuals' cultural background, performance monitoring is proposed to have a curvilinear relationship with individual performance and to mediate between cultural dissimilarity and performance. Multilevel moderated mediation analyses of time-lagged data from 316 members of 69 teams confirmed these hypotheses. Cultural dissimilarity had a negative relationship with performance monitoring for high cultural-status members, and a positive relationship for low cultural-status members. Performance monitoring had a curvilinear relationship with individual performance that became decreasingly positive. Cultural dissimilarity thus was increasingly negatively associated with performance for high culturalstatus members, and decreasingly positively for low cultural-status members. These findings suggest that cultural dissimilarity to the team is not unconditionally negative for the individual but, in moderation, may in fact have positive motivational effects.
Resumo:
Neuroimaging (NI) technologies are having increasing impact in the study of complex cognitive and social processes. In this emerging field of social cognitive neuroscience, a central goal should be to increase the understanding of the interaction between the neurobiology of the individual and the environment in which humans develop and function. The study of sex/gender is often a focus for NI research, and may be motivated by a desire to better understand general developmental principles, mental health problems that show female-male disparities, and gendered differences in society. In order to ensure the maximum possible contribution of NI research to these goals, we draw attention to four key principles—overlap, mosaicism, contingency and entanglement—that have emerged from sex/gender research and that should inform NI research design, analysis and interpretation. We discuss the implications of these principles in the form of constructive guidelines and suggestions for researchers, editors, reviewers and science communicators.
Resumo:
This article reflects on the position of people in, against and beyond information and communication technologies. Firstly, using Jandrić and Kuzmanić’s work on digital postcolonialism, Raymond Williams's work on residual and emergent cultures, and Deleuze and Guattari's insights into the dynamics between territorialization, de-territorialization and re-territorialization, it develops a theoretical framework for inquiry into the hybrid identity of the contemporary university. Then, through critical discourse analysis (CDA), the article moves on to analyse the ways in which technology discourse resides in the dominating ideology of technological determinism and co-opts with neoliberal agendas by omitting humans from explicit mention in UK policy documents. It shows that true counter-hegemonic practice against dominating social practices is possible only through reinvigorating the central position of human beings in regards to information and communication technologies. Within the developed theoretical framework, it seeks openings to intervene subversively into current relationships between technologies, people, and (higher) education, and to identify opportunities for building a non-determinist identity of the contemporary university that reaches beyond the single-minded logic of techno-scientific development. In the process, it situates Paulo Freire's insights into critical pedagogy in the context of the network society, and places the relationships between human beings, language and information and communication technologies amongst central questions of today's (higher) education and society at large.
Resumo:
The uncertainty of measurements must be quantified and considered in order to prove conformance with specifications and make other meaningful comparisons based on measurements. While there is a consistent methodology for the evaluation and expression of uncertainty within the metrology community industry frequently uses the alternative Measurement Systems Analysis methodology. This paper sets out to clarify the differences between uncertainty evaluation and MSA and presents a novel hybrid methodology for industrial measurement which enables a correct evaluation of measurement uncertainty while utilising the practical tools of MSA. In particular the use of Gage R&R ANOVA and Attribute Gage studies within a wider uncertainty evaluation framework is described. This enables in-line measurement data to be used to establish repeatability and reproducibility, without time consuming repeatability studies being carried out, while maintaining a complete consideration of all sources of uncertainty and therefore enabling conformance to be proven with a stated level of confidence. Such a rigorous approach to product verification will become increasingly important in the era of the Light Controlled Factory with metrology acting as the driving force to achieve the right first time and highly automated manufacture of high value large scale products such as aircraft, spacecraft and renewable power generation structures.