MétaCan
Menu
Back to cohort
Record W2161199781 · doi:10.1177/0263276410372235

The Politics of Affect

2010· article· en· W2161199781 on OpenAlexaff
Susan Ruddick

Bibliographic record

VenueTheory Culture & Society · 2010
Typearticle
Languageen
FieldPsychology
TopicPsychoanalysis, Philosophy, and Politics
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPoliticsCognitive dissonanceAffect (linguistics)OppressionSociologyCapitalismTRACE (psycholinguistics)Subject (documents)Divergence (linguistics)EpistemologyThe ImaginaryAlterityAestheticsGender studiesSocial psychologyPsychoanalysisPolitical sciencePhilosophyPsychologyLaw

Abstract

fetched live from OpenAlex

How do we fashion a new political imaginary from fragmentary, diffuse and often antagonistic subjects, who may be united in principle against the exigencies of capitalism but diverge in practice, in terms of the sites, strategies and specific natures of their own oppression? To address this question I trace the dissonance between the approaches of Antonio Negri and Gilles Deleuze back to their divergent mobilizations of Spinoza’s affect and the role it plays in the ungrounding and reconstitution of the social body. This dissonance reveals a divergence in their projects, the way these political projects emerge as counter-actualizations, the means by which they are expressed, and the necessity (or not) of a particular kind of historical subject to their realization. Most significantly, it speaks to how we might engage difference and alterity within our own political projects, our collective creations. I conclude with a focus on the productive possibilities provided by Deleuze’s writings on the scream, as a vehicle to uncover new terrains of struggle and new possibilities for collectivity.

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 score0.014
Threshold uncertainty score0.027

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 studies0.0060.041
Scholarly communication0.0140.008
Open science0.0010.004
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0050.001

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 head0.013
GPT teacher head0.323
Teacher spread0.309 · 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

Citations196
Published2010
Admission routes1
Has abstractyes

Explore more

Same venueTheory Culture & SocietySame topicPsychoanalysis, Philosophy, and PoliticsFrench-language works237,207