The evisceration of the human under digital capitalism

Carrigan, Mark

doi:10.4324/9781351233705-7

Cited by 9 publications

(27 citation statements)

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“…Often defined in terms of a continually expanding list of v’s (volume, variety, velocity and veracity etc. ), big data is produced as a by-product of user engagement with digital systems (Carrigan 2018 ). Even though ‘click trails’ long precede big data, the methodological impetus of the literature concerns the scale at which this data is generated, as well as the latent value understood to reside within it across a whole range of strategic arenas (Kitchin 2014 ).…”

Section: The Common Features Of Platforms and Their Significance For Higher Educationmentioning

confidence: 99%

Platforms and Institutions in the Post-Pandemic University: a Case Study of Social Media and the Impact Agenda

Carrigan

2021

Postdigit Sci Educ

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In this paper, we argue that digital platforms play an important role within higher education, not least of all when Covid-19 has made remote working the norm. An increasingly rich field of theoretical and empirical work has helped us understand platforms as socio-technical infrastructures which shape the activity of their users. Their insertion into higher education raises urgent institutional questions which necessitate dispensing with the individualised mode of analysis and instrumentalised conception of technology which often accompany these topics. We outline an alternative approach through a case study of social media in the 2014 Research Excellence Framework, exploring the incorporation of platforms into research evaluation. Our findings suggest social media is invoked differently across disciplinary groupings, as well as platform metrics being cited in a naive and problematic matter. We offer a neo-institutionalist analysis which identifies a tendency towards isomorphism, with perceived ‘best practice’ being seized upon in response to uncertainty. We suggest such an approach is urgently needed given the role which digital platforms will play in building the post-Pandemic university.

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Section: The Common Features Of Platforms and Their Significance For Higher Educationmentioning

confidence: 99%

Platforms and Institutions in the Post-Pandemic University: a Case Study of Social Media and the Impact Agenda

Carrigan

2021

Postdigit Sci Educ

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Section: Tentative Mechanisms Of How Structural and Semantic Transformentioning

confidence: 99%

“…Archer 2012) of the recent Slovenian transformations. They should be seen as resulting from both the national specifics and from the global morphogenesis linked to digital capitalism (Carrigan 2019) and other global trends in terms of structures and semantics (Genov 2012(Genov , 2018 Robertson and Buhari-Gulmez 2018). Slovenia is a perfect environment to observe not only a quick shift, according to Archer (2012) towards more morphogenetic social structures but also how individuals placed on different positions in these structures are affected by these sudden changes: How people of different generations, gender and education may experience and respond both to emerging individual risks and to persisting structural constraints-in terms of developing different reflexivity levels and modes.…”

Section: Tentative Mechanisms Of How Structural and Semantic Transformentioning

confidence: 99%

Reflexivity and Structural Positions: The Effects of Generation, Gender and Education

Голоб

Makarovič

2019

Social Sciences

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This article examines how reflexivity, as understood by Margaret Archer, is affected by the structural settings in the context of morphogenetic social and cultural transformations. It draws on the Slovenian national case as an example of swift structural and cultural shifts towards late modernity. For that purpose, we apply a new measurement tool developed through our previous research, which upgrades Archer’s existing ICONI model by distinguishing between the intensity and the concurrent practicing of the reflexivity modes within the inner dialogue. Based on a general national sample, we confirm not only the reflexivity changes from the older to the younger generations but also the role of education and gender in reflexivity levels and modes. We refer to the problem of deprivation and the importance of linking fractured reflexivity to the challenges, women are facing nowadays. Thus, the article confirms some of the critics of Archer’s work, demonstrating—despite significant individual differences—the clear impact of the individual’s background and her/his position in the social structure.

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“…Others adopt a more detached, skeptical approach, drawing attention to the weaknesses and risks inherent in data mining-based research work and stressing that big data embody elements of society and culture and have their own politics (Lupton 2015). The main weaknesses attributed to research based on data mining are the following: predominance of correlations of facts and identifying of patterns, to the detriment of interpretation; tendency to reduce human action to behaviors, avoiding enquiry into the reflexive aspect (Beer 2016;Lupton 2016;Carrigan 2018) 1 . Others maintain that the human and social sciences gain by welcoming the convergence with computational engineering.…”

Section: Introductionmentioning

confidence: 99%

“…'Distant reading' seeks to capture trends in matters of genre, style, movements and topics, its practitioners arguing that the proliferation of digitalized literature 1 Some writers suggest that the debate should begin by distinguishing between the 'material phenomenon' and the 'ideational phenomenon' of big data, the former referring to its social, technical and historical elements, the latter inquiring as to how the notion of big data developed in technical, philosophical, and cultural terms. Although they are connected, the heuristic value of the distinction lies in helping to identify, and not subsume, the way sponsors of big data infrastructure and technologies find material sponsorship within organizational contexts with specific characteristics (Beer 2016;Carrigan 2018). collections provides opportunities for a better understanding of the past (Moretti 2013). Another form of macro analysis of the culture field, mainly based on analyzing images, is the tendency known as 'cultural analytics', an expression coined in 2005 by Lev Manovich.…”

Section: Introductionmentioning

confidence: 99%

Researching Culture through Big Data: Computational Engineering and the Human and Social Sciences

Martinho

2018

Social Sciences

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The emergence of big data and data science has caused the human and social sciences to reconsider their aims, theories, and methods. New forms of inquiry into culture have arisen, reshaping quantitative methodologies, the ties between theory and empirical work. The starting point for this article is two influential approaches which have gained a strong following, using computational engineering for the study of cultural phenomena on a large scale: 'distant reading' and 'cultural analytics'. The aim is to show the possibilities and limitations of these approaches in the pursuit of scientific knowledge. The article also focuses on statistics of culture, where integration of big data is challenging procedures. The article concludes that analyses of extensive corpora based on computing may offer significant clues and reveal trends in research on culture. It argues that the human and social sciences, in joining up with computational engineering, need to continue to exercise their ability to perceive societal issues, contextualize objects of study, and discuss the symbolic meanings of extensive worlds of artefacts and discourses. In this way, they may help to overcome the perceived restrictions of large-scale analysis such as the limited attention given to individual actors and the meanings of their actions.

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The evisceration of the human under digital capitalism

Cited by 9 publications

References 0 publications

Platforms and Institutions in the Post-Pandemic University: a Case Study of Social Media and the Impact Agenda

Platforms and Institutions in the Post-Pandemic University: a Case Study of Social Media and the Impact Agenda

Reflexivity and Structural Positions: The Effects of Generation, Gender and Education

Researching Culture through Big Data: Computational Engineering and the Human and Social Sciences

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