919 resultados para actor network theory


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Australia’s Education Revolution, launched in 2008, emphasised equity as a key reason for reforms. It identified ‘pockets of disadvantage’ as one of the main problems that needed to be addressed through its reforms. Through a series of translations, the problem of ‘pockets of disadvantage’ was converted to one of a lack of information, a lack of comparable metrics and the absence of an informed public, leading to a number of solutions such as the development of a national assessment scheme and the My School website. In this paper, using the theoretical and methodological resources of actor-network theory, I argue that these translations were also, simultaneously, the processes by which the Australian education space was further ‘marketised’. These marketisation processes involved homogenisation, whereby schools were rendered comparable through the development of common evaluation and common metrics; the development of informational resources that enabled parents to function as economic agents and exert ‘market forces’; and coordinating the activities of the actors through the My School website. The paper concludes with a discussion of how such descriptive analyses might serve as critique.

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The OECD’s Programme for International Student Assessment (PISA) is increasingly depended upon by education policy makers to provide reliable measures of their country’s education system against international benchmarks. PISA attempts to provide efficient, scientific and technical means to develop educational policies which achieve optimal outcomes (Berg &Timmermans, 2000, p. 31). This kind of scientific evidence is seen by policy makers as being free of prejudice and ideology. Science is expected to represent the truth, state universal facts and make predictions.Thus PISA seeks to rank countries’ performances, work out future scenarios and offer policy direction. By what means does PISA gain knowledge and speak with confidence about diverse cultures and distant nations? How does it acquire a ‘voice from nowhere’ (Haraway, 1988; Suchman, 2000), and become a modern-day Oracle that countries might consult for policy advice? Modelled on early actor-network accounts of laboratory life, this ethnography traces how PISA knowledge comes to be made, guided by interview data with two ‘insiders’ in the ‘PISA laboratory’. It traces the translations and the circulating reference that turn PISA into a ‘centre of calculation’. It highlights how human and non-human entities are imbricated in the assembling of scientific facts and argues for a suspension of the divide between ‘science’ and ‘politics’. In the process, the paper offers an empirical instantiation of how some concepts from actor-network theory may be applied in the field of education policy, and ponders the implications of such an understanding for evidence based policy making.

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This paper is designed to systematically assess the benefits of a chemotherapy ordering system (COS) for the private healthcare sector in Australia. By taking a rational economic perspective and modeling the principle-agent relationships using an actor network framework, it is possible to evaluate various scenarios and thereby assess the benefits, barriers and facilitators, possible COS can have. In this study, four hypotheses are tested using a mixed methodology which will serve to facilitate the decision making processes regarding the choice and implementation of the appropriate COS for Epworth.

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The emergence of as developed by the International Integrated Reporting Council (IIRC) is traced from antecedent concepts of integrated reporting and earlier voluntary corporate reporting initiatives. The paper uses actor network theory and its conceptions of detour, affordance and laboratory to examine the development of while still controversial and where meanings remained open and malleable to the inscription of interests from a wide coalition of actors. The programme of action is interpreted through interviews with key individuals, official documents, publications and integrated reports circulated by the IIRC. The analysis highlights the imperatives of private standard setters and indicates how integrated reporting corporate governance regulation in South Africa provided a laboratory prototype for reshaping the UK Connected Reporting initiative into the IIRC framework. The analysis reveals important detours and the associated affordances made during the development of : (a) the repositioning of in the corporate reporting infrastructure to ensure that it did not usurp the pre-existing frameworks of supporting actors; and (b) the specification of providers of financial capital as the intended reporting audience to ensure that it could meet the interests of those actors seeking a solution for more entity-specific, communicative, de-cluttered corporate reporting.

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This paper provides an account of the way Enterprise Resource Planning (ERP) systems change over time. These changes are conceptualized as a biographical accumulation that gives the specific ERP technology its present character, attributes and historicity. The paper presents empirics from the implementation of an ERP package within an Australasian organization. Changes to the ERP take place as a result of imperatives which arise during the implementation. Our research and evidence then extends to a different time and place where the new release of the ERP software was being `sold' to client firms in the UK. We theorize our research through a lens based on ideas from actor network theory (ANT) and the concept of biography. The paper seeks to contribute an additional theorization for ANT studies that places the focus on the technological object and frees it from the ties of the implementation setting. The research illustrates the opportunistic and contested fabrication of a technological object and emphasizes the stability as well as the fluidity of its technologic.

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Community-school partnerships are an established practice within environmental science education, where a focus on how local phenomena articulate with broader environmental issues and concerns brings potential benefits for schools, community organisations and local communities. This paper contributes to our understanding of such educational practices by tracing of the diverse socio-material flows that constitute a community environmental monitoring project, where Australian school students became investigators of and advocates for particular sites in their neighbourhood. The theoretical resources of Actor-Network Theory are drawn upon to describe how the project—as conceptualised by its initiators—was enacted as both human and non-human actors sought to progress their own agendas thus translating the concept-project into multiple project realities. We conclude by identifying implications for sustaining educational innovations of this kind.

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In this paper we respond to calls for an institution-based perspective on strategy. With its emphasis upon mimetic, coercive, and normative isomorphism, institutional theory has earned a deterministic reputation and seems an unlikely foundation on which to construct a theory of strategy. However, a second movement in institutional theory is emerging that gives greater emphasis to creativity and agency. We develop this approach by highlighting co-evolutionary processes that are shaping the varieties of capitalism (VoC) in Asia. To do so, we examine the extent to which the VoC model can be fruitfully applied in the Asian context. In the spirit of the second movement of institutional theory, we describe three processes in which firm strategy collectively and intentionally feeds back to shape institutions: (1) filling institutional voids, (2) retarding institutional innovation, and (3) deploying institutional escape. We outline the key contributions contained in the articles of this Special Issue and discuss a research agenda generated by the VoC perspective.

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The fidelity of the folding pathways being encoded in the amino acid sequence is met with challenge in instances where proteins with no sequence homology, performing different functions and no apparent evolutionary linkage, adopt a similar fold. The problem stated otherwise is that a limited fold space is available to a repertoire of diverse sequences. The key question is what factors lead to the formation of a fold from diverse sequences. Here, with the NAD(P)-binding Rossmann fold domains as a case study and using the concepts of network theory, we have unveiled the consensus structural features that drive the formation of this fold. We have proposed a graph theoretic formalism to capture the structural details in terms of the conserved atomic interactions in global milieu, and hence extract the essential topological features from diverse sequences. A unified mathematical representation of the different structures together with a judicious concoction of several network parameters enabled us to probe into the structural features driving the adoption of the NAD(P)-binding Rossmann fold. The atomic interactions at key positions seem to be better conserved in proteins, as compared to the residues participating in these interactions. We propose a ``spatial motif'' and several ``fold specific hot spots'' that form the signature structural blueprints of the NAD(P)-binding Rossmann fold domain. Excellent agreement of our data with previous experimental and theoretical studies validates the robustness and validity of the approach. Additionally, comparison of our results with statistical coupling analysis (SCA) provides further support. The methodology proposed here is general and can be applied to similar problems of interest.

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Network theory applied to protein structures provides insights into numerous problems of biological relevance. The explosion in structural data available from PDB and simulations establishes a need to introduce a standalone-efficient program that assembles network concepts/parameters under one hood in an automated manner. Herein, we discuss the development/application of an exhaustive, user-friendly, standalone program package named PSN-Ensemble, which can handle structural ensembles generated through molecular dynamics (MD) simulation/NMR studies or from multiple X-ray structures. The novelty in network construction lies in the explicit consideration of side-chain interactions among amino acids. The program evaluates network parameters dealing with topological organization and long-range allosteric communication. The introduction of a flexible weighing scheme in terms of residue pairwise cross-correlation/interaction energy in PSN-Ensemble brings in dynamical/chemical knowledge into the network representation. Also, the results are mapped on a graphical display of the structure, allowing an easy access of network analysis to a general biological community. The potential of PSN-Ensemble toward examining structural ensemble is exemplified using MD trajectories of an ubiquitin-conjugating enzyme (UbcH5b). Furthermore, insights derived from network parameters evaluated using PSN-Ensemble for single-static structures of active/inactive states of 2-adrenergic receptor and the ternary tRNA complexes of tyrosyl tRNA synthetases (from organisms across kingdoms) are discussed. PSN-Ensemble is freely available from http://vishgraph.mbu.iisc.ernet.in/PSN-Ensemble/psn_index.html.

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Network theory has become an excellent method of choice through which biological data are smoothly integrated to gain insights into complex biological problems. Understanding protein structure, folding, and function has been an important problem, which is being extensively investigated by the network approach. Since the sequence uniquely determines the structure, this review focuses on the networks of non-covalently connected amino acid side chains in proteins. Questions in structural biology are addressed within the framework of such a formalism. While general applications are mentioned in this review, challenging problems which have demanded the attention of scientific community for a long time, such as allostery and protein folding, are considered in greater detail. Our aim has been to explore these important problems through the eyes of networks. Various methods of constructing protein structure networks (PSN) are consolidated. They include the methods based on geometry, edges weighted by different schemes, and also bipartite network of protein-nucleic acid complexes. A number of network metrics that elegantly capture the general features as well as specific features related to phenomena, such as allostery and protein model validation, are described. Additionally, an integration of network theory with ensembles of equilibrium structures of a single protein or that of a large number of structures from the data bank has been presented to perceive complex phenomena from network perspective. Finally, we discuss briefly the capabilities, limitations, and the scope for further explorations of protein structure networks.

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This paper explores the role of social integration on altruistic behavior. To this aim, we develop a two-stage experimental protocol based on the classic Dictator Game. In the first stage, we ask a group of 77 undergraduate students in Economics to elicit their social network; in the second stage, each of them has to unilaterally decide over the division of a fixed amount of money to be shared with another anonymous member in the group. Our experimental design allows to control for other variables known to be relevant for altruistic behavior: framing and friendship/acquaintance relations. Consistently with previous research, we find that subjects favor their friends and that framing enhances altruistic behavior. Once we control for these effects, social integration (measured by betweenness, a standard centrality measure in network theory) has a positive effect on giving: the larger social isolation within the group, the more likely it is the emergence of selfish behavior. These results suggest that information on the network structure in which subjects are embedded is crucial to account for their behavior.

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Neal, M., Meta-stable memory in an artificial immune network, Proceedings of the 2nd International Conference on Artificial Immune Systems {ICARIS}, Springer, 168-180, 2003,LNCS 2787/2003

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We present an intuitive geometric approach for analysing the structure and fragility of T1-weighted structural MRI scans of human brains. Apart from computing characteristics like the surface area and volume of regions of the brain that consist of highly active voxels, we also employ Network Theory in order to test how close these regions are to breaking apart. This analysis is used in an attempt to automatically classify subjects into three categories: Alzheimer’s disease, mild cognitive impairment and healthy controls, for the CADDementia Challenge.

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Purpose – The purpose of this paper is to suggest how enabling policy should be focused in a knowledge economy by developing the concept of a knowledge economy social network (KESN).

Design/methodology/approach – The paper employs an interdisciplinary approach in developing the KESN by drawing on concepts and methodology from economics, political science and social network theory.

Findings – The KESN's social capital is defined. As such, maintaining accountability, increasing cohesion and connections among knowledge actors are suggested as relevant guidelines for policy in the KESN.

Research limitations/implications – The knowledge economy should ideally be seen as having unique needs compared to the traditional economy in devising policy.

Practical implications – The paper suggests using the KESN as a basis for devising policy for a knowledge economy.

Originality/value – The paper uses an interdisciplinary approach to studying the knowledge economy and introduces the KESN.