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Record W2396233450 · doi:10.1177/1468795x15600929

Risk society and Marxism: Beyond simple antagonism

2015· article· en· W2396233450 on OpenAlexafffund
Dean Curran

Bibliographic record

VenueJournal of Classical Sociology · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicYouth Education and Societal Dynamics
Canadian institutionsUniversity of Calgary
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsSociologyEpistemologyOpposition (politics)Social theoryRisk societySocial scienceLawPolitical sciencePhilosophyPolitics

Abstract

fetched live from OpenAlex

Moving beyond Beck’s explicit opposition to Marx’s understanding of society, this article proposes to explore some of the deeper commonalities between Marxism and Beck’s theory of risk society. Rather than remaining at the level of propositional claims about society, at which Marx and Beck are opposed in several important ways, this article proposes to analyze these theories in terms of their key commonalities in the problem situations they address. In particular, this article identifies how both of these theories explore the implications of the development of productive forces and the resulting humanisation of nature in the context of widespread social estrangement. This article then identifies key commonalities in the structure of the theoretical solutions that each theory employs to address their commonly held problem situation. In this way, this article rethinks the relationship between Beck and Marx, as well as suggesting alternative ways of re-appropriating classical social theory.

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)0.005
metaresearch head score (Gemma)0.005
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 score0.009
Threshold uncertainty score0.052

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0050.043
Scholarly communication0.0090.008
Open science0.0010.007
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.037
GPT teacher head0.348
Teacher spread0.310 · 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

Citations14
Published2015
Admission routes2
Has abstractyes

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