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Should academic careers always unfold in exactly the same way? Is there one best way of being an academic? This book says no. Assumptions about who academics are and what they should do are becoming increasingly narrow and focused on achieving so-called ‘excellence’ in teaching and research above anything else. This book problematises this and explores the scope for doing academic careers differently. Authors paint individual or group portraits of their academic careers, working with metaphors which challenge the dominant discourses of how academic careers should be led. From rejecting the pressure to focus on ‘one big thing’, to prioritising nurture and care, transcending disciplina...
Higher education is increasingly unable to engage usefully with global emergencies, as its functions are repurposed for value. Discourses of entrepreneurship, impact and excellence, realised through competition and the market, mean that academics and students are increasingly alienated from themselves and their work. This book applies Marx’s concept of alienation to the realities of academic life in the Global North, in order to explore how the idea of public education is subsumed under the law of value. In a landscape of increased commodification of higher education, the book explores the relationship between alienation and crisis, before analysing how academic knowledge, work, identity and life are themselves alienated. Finally, it argues that through indignant struggle, another world is possible, grounded in alternative forms of organising life and producing socially-useful knowledge, ultimately requiring the abolition of academic labour. This pioneering work will be of interest and value to all those working in the higher education sector, as well as those concerned with the rise of neoliberalism and marketization within universities.
To remain relevant, management education must reflect the realities that influence its subject matter, management, while at the same time addressing societal needs and expectations. Faced by powerful drivers of change, many of which are amplified by the immense turbulence caused by the COVID-19 pandemic in early 2020, an assessment of where management education stands and where it is going is timely. This book brings together management education scholars, practitioners, and stakeholders to identify trends and to critically analyse key challenges from their respective perspectives. They consider the requirements for providing relevant management education in the future and explore changes an...
La perspective productiviste, instrumentale et court-termiste qui structure aujourd’hui la production des connaissances scientifiques n’est ni souhaitable ni tenable. Elle n’est pas souhaitable car elle appauvrit le champ des connaissances en standardisant les formats de la recherche ; elle n’est pas tenable car elle transforme en profondeur l’ethos de la recherche, malmène les identités et néglige les conditions de travail de ceux qui la produisent. Les contributeurs de cet ouvrage, enseignants et chercheurs en sciences de gestion, partagent ce constat et proposent d’examiner « la possibilité d’une île », c’est-à-dire des possibilités d’existence d’une recherche...
The Handbook of Feminist Research Methodologies in Management and Organization Studies focuses on the interlinkages between feminist theories, methodologies and research methods, and their practical implementation in business and management research. Featuring contributions from leading scholars in the field of management and organization studies, this groundbreaking Handbook analyses key theoretical texts and their methodological implications, as well as topical approaches including postcolonial feminism and critical race theory. This title contains one or more Open Access chapters.
Les questions environnementales et d’équité sociale font de plus en plus partie des considérations liées au développement économique. Les gestionnaires sont ainsi appelés à construire, à maintenir ou à rebâtir la légitimité de leur organisation sur ce plan. Comprendre la responsabilité sociétale de l’organisation (RSO) et ses pratiques est désormais devenu une compétence clé pour ceux-ci. Cet ouvrage représente l’outil idéal pour former les futurs gestionnaires en matière de RSO. Divisé en trois parties, il comprend d’abord une série d’exercices (problèmes à résoudre, jeux de rôle, énoncés de mandat à réaliser, réflexions sur la base de films, de doc...
The two-volume set LNCS 4131 and LNCS 4132 constitutes the refereed proceedings of the 16th International Conference on Artificial Neural Networks, ICANN 2006. The set presents 208 revised full papers, carefully reviewed and selected from 475 submissions. This first volume presents 103 papers, organized in topical sections on feature selection and dimension reduction for regression, learning algorithms, advances in neural network learning methods, ensemble learning, hybrid architectures, and more.
This book constitutes the refereed proceedings of the 8th International Conference on Intelligent Data Engineering and Automated Learning, IDEAL 2007, held in Birmingham, UK, in December 2007. The papers include topical sections on learning and information processing, data mining and information management, bioinformatics and neuroinformatics, agents and distributed systems, financial engineering and modeling, and agent-based approach to service sciences.
The Evolution Arti?cielle cycle of conferences was originally initiated as a forum for the French-speaking evolutionary computation community. Previous EA m- tings were held in Toulouse (EA’94), Brest (EA’95, LNCS 1063), Nˆ?mes (EA’97, LNCS 1363), Dunkerque (EA’99, LNCS 1829), and ?nally, EA 2001 was hosted by the Universit ́e de Bourgogne in the small town of Le Creusot, in an area of France renowned for its excellent wines. However, the EA conferences have been receiving more and more papers from the international community: this conference can be considered fully internat- nal, with 39submissions from non-francophonic countries on all ?ve continents, out of a total of 68. Out of...
A comprehensive review of an area of machine learning that deals with the use of unlabeled data in classification problems: state-of-the-art algorithms, a taxonomy of the field, applications, benchmark experiments, and directions for future research. In the field of machine learning, semi-supervised learning (SSL) occupies the middle ground, between supervised learning (in which all training examples are labeled) and unsupervised learning (in which no label data are given). Interest in SSL has increased in recent years, particularly because of application domains in which unlabeled data are plentiful, such as images, text, and bioinformatics. This first comprehensive overview of SSL presents...