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Record W2898693440 · doi:10.1080/0267257x.2018.1536076

No longer violent enough?: Creative destruction, innovation and the ossification of neoliberal capitalism

2018· article· en· W2898693440 on OpenAlexaff
Detlev Zwick

Bibliographic record

VenueJournal of Marketing Management · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Economy and Marxism
Canadian institutionsYork University
Fundersnot available
KeywordsCapitalismCapital (architecture)PoliticsMarket economyEconomicsNeoclassical economicsSociologyLate capitalismPolitical economyEconomic systemLawPolitical scienceHistory

Abstract

fetched live from OpenAlex

My goal is to suggest that it is useful to distinguish analytically between capital’s primal, often direct violence against bodies and a systemic form of violence that is at the same time reproductive of the capitalist system and directed against its own creations. I suggest that this analytical separation allows us to see that on the one hand capitalist violence is intensifying and with it processes of exploitation, class bifurcation, downward mobility and environmental, political and social degradation. On the other hand, however, capitalism appears to be ossifying as it loses its ability to self-reproduce. The violent act of (periodically) destroying its own creation to make room for new production and formation is becoming stifled and nothing appears capable of blowing up the dead weight of capital that is suffocating living labour. Drawing on the work of David Graeber and Mariana Mazzucato I propose that, paradoxically, it is the logic of the market that causes the stifling of real innovation and thus capitalism’s ability to reproduce. It is in this sense that I claim that capitalism is no longer violent enough.

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)0.003
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 score0.011
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.044
Scholarly communication0.0110.007
Open science0.0010.005
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 head0.012
GPT teacher head0.273
Teacher spread0.260 · 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

Citations31
Published2018
Admission routes1
Has abstractyes

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