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Record W1993618106 · doi:10.1068/a40274

Towards a Dialectics of the Positive

2008· article· en· W1993618106 on OpenAlexaff
Sue Ruddick

Bibliographic record

VenueEnvironment and Planning A Economy and Space · 2008
Typearticle
Languageen
FieldArts and Humanities
TopicMarxism and Critical Theory
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsDialecticHegelianismNegationEpistemologyPhilosophyPoliticsMisrepresentationOpposition (politics)SociologyLawPolitical scienceLinguistics

Abstract

fetched live from OpenAlex

The persistent divide within French philosophy between so-called structuralists and poststructuralists has been recently revived in the writings of Badiou and others. This narration of the history of French philosophy is trapped inevitably in the very way it poses the problem: as a dialectic of the negative. The abstracting of these traditions from all their messiness into a dialectical opposition is itself part of the problem, a misrepresentation, ignoring any points of convergence. Drawing centrally on the work of Pierre Macherey, I suggest this divide can be traced back to Hegel's profound misreading of Spinoza, which became the basis for Hegel's dialectic and Marx's subsequent inversion. I explore crucial points of convergence between Marx and Spinoza, and a resonance between Deleuze and Macherey (who are often stereotyped as emblems of oppositional tendencies within French philosophy). Their work converges on a rejection of negation as the defining quality of essence or multiplicity and, in the case of Deleuze and Macherey, a shared uptake of Spinoza's concept of potentia. Their work gestures towards the development of a dialectics of the positive: a problematic that might enable us to think across our differences to a political ontology that embraces the posthuman, immanent, and affirmative qualities of struggle.

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)0.007
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: Other · Consensus signal: Other
Teacher disagreement score0.011
Threshold uncertainty score0.075

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0070.059
Scholarly communication0.0110.009
Open science0.0010.005
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0030.000

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 head0.019
GPT teacher head0.181
Teacher spread0.162 · 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
GenreOther

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

Citations33
Published2008
Admission routes1
Has abstractyes

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