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Record W2641881593 · doi:10.1177/1354856517713139

The hipster’s dilemma: What is analogue or digital in the post-digital society?

2017· article· en· W2641881593 on OpenAlexaff
Claes Thorén, Mats Edenius, Jenny Eriksson Lundström, Andreas Kitzmann

Bibliographic record

VenueConvergence The International Journal of Research into New Media Technologies · 2017
Typearticle
Languageen
FieldComputer Science
TopicDigital Education and Society
Canadian institutionsYork University
Fundersnot available
KeywordsDichotomyDilemmaEpistemologySociologyPresuppositionPerformativityComputer sciencePhilosophy

Abstract

fetched live from OpenAlex

This article sets out to explore the phenomenon of willing digital disconnect by reconsidering and reworking some of the central ideas that currently fall under the umbrella of technological non-use. The presupposition of binary divisions between the dichotomies ‘users’–‘non-users’ and ‘analogue’–‘digital’ is put into question as the article explores the taking up of predigital technologies and the explicit and implicit disengagement from contemporary digital technologies. In short, this article asks: What does the contemporary revival of analogue technologies reveal about the social and material processes that constitute ‘use’, and what are the implications for the conceptual division of the terms analogue and digital? To answer these questions, the article draws on assemblage theory to describe the material and expressive performativity of social structure – that is, how individuals interact with technology. Empirical evidence comes from three illustrative cases where predigital technologies have replaced an existing digital alternative. Results emphasize the importance of understanding the material and expressive reconfigurations that underline technological use in a post-digital society in order to move beyond binary concepts such as analogue/digital or use/non-use as well as concepts such as the digital divide.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.017
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.022
Threshold uncertainty score0.040

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.017
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.003
Science and technology studies0.0070.085
Scholarly communication0.0220.032
Open science0.0020.011
Research integrity0.0050.005
Insufficient payload (model declined to judge)0.0080.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.098
GPT teacher head0.399
Teacher spread0.301 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations47
Published2017
Admission routes1
Has abstractyes

Explore more

Same venueConvergence The International Journal of Research into New Media TechnologiesSame topicDigital Education and SocietyFrench-language works237,207