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Record W4403225942 · doi:10.1177/08969205241287067

Neoliberalism Against Society? Spontaneous Order and Governance of Desire in Digital Societies

2024· article· en· W4403225942 on OpenAlexfundno aff
Luca Mavelli, Antonio Cerella

Bibliographic record

VenueCritical Sociology · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Media and Politics
Canadian institutionsnot available
FundersTrent UniversityNottingham Trent University
KeywordsNeoliberalism (international relations)Spontaneous orderCorporate governanceOrder (exchange)FinancializationBiopowerPolitical scienceSociologyPolitical economyPoliticsEconomic systemEconomicsLawMarket economy

Abstract

fetched live from OpenAlex

Critical scholarship often argues that neoliberalism has caused the ‘crisis’ or ‘destruction’ of society. Drawing on Foucault’s concept of power as ‘productive’ and focusing on digital societies, we argue that neoliberalism seeks not to dismantle society but to create societies that govern desires through market freedom. We explore Friedrich Hayek’s idea that a free society is not based on social well-being or equality, but on spontaneous norms arising from the market order. Digital societies, we contend, are neoliberal but not spontaneous; they emerge from the market order yet are shaped by algorithmic codes that intercept, manipulate, amplify, and promote the voluntary self-exploitation of individual desires. The article combines the latest critical scholarship on neoliberalism with a fresh interpretation of Hayek’s thought and recent work on digital societies and algorithmic governance, highlighting the often-overlooked role of desire in the neoliberal governance of the digital age.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.047
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.004
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.023
GPT teacher head0.328
Teacher spread0.305 · 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 teacher head, not a consensus.

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

Citations2
Published2024
Admission routes1
Has abstractyes

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