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Record W2156633382 · doi:10.3366/e1750224110000772

What Concepts Do: Preface to the Chinese Translation of <i>A Thousand Plateaus</i>

2010· article· en· W2156633382 on OpenAlexaff
Brian Massumi

Bibliographic record

VenueDeleuze Studies · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicPosthumanist Ethics and Activism
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsRelation (database)EpistemologyReading (process)DisciplineEvent (particle physics)SociologyKey (lock)Close readingPhilosophyLinguisticsSocial scienceComputer science

Abstract

fetched live from OpenAlex

This essay suggests an approach to the reading of Deleuze and Guattari's A Thousand Plateaus, grasped as a philosophical event that is as directly pragmatic as it is abstract and speculative. A series of key Deleuzo-Guattarian concepts (in particular, multiplicity, minority and double becoming) are staged from the angle of philosophy's relation to its disciplinary outside. These concepts are then transferred to the relation between the authors' philosophical lineage and the new cultural outside into which the Chinese translation will propel their thought. Emphasis is placed on the writing – and reading – of philosophy as a creative act of collective import and ethical force.

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)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.043
Threshold uncertainty score0.085

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0040.004
Scholarly communication0.0030.003
Open science0.0010.001
Research integrity0.0010.006
Insufficient payload (model declined to judge)0.0130.004

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 head0.044
GPT teacher head0.400
Teacher spread0.356 · 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 designNot applicable
Domainnot available
GenreCommentary

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

Citations36
Published2010
Admission routes1
Has abstractyes

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