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Record W2104101658 · doi:10.1177/1368431011423567

Many Europes: Rethinking multiplicity

2011· article· en· W2104101658 on OpenAlexaff
William Biebuyck, Chris Rumford

Bibliographic record

VenueEuropean Journal of Social Theory · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicEuropean Union Policy and Governance
Canadian institutionsCarleton University
Fundersnot available
KeywordsPoliticsReductionismEpistemologySociologyHistoricismSketchGlobeSocial sciencePolitical scienceLawPhilosophyMathematics

Abstract

fetched live from OpenAlex

This article advances a non-reductionist theorization of Europe as ‘multiplicity’. As an object and category of political reality, Europe is made (and re-made) within specific spatio-temporal configurations. For this reason, the first section argues that Europe should be approached as an instance of ‘historical ontology’. This counters a reductionist tendency to ‘fix’ Europe with definitive political and cultural characteristics or historical trajectories. The second and third sections of the article interrogate a few of the ontological ‘lines of flight’ taken by contemporary Europe. The article discusses Europe’s multiplicity through its fields, imaginaries and ways of being in the world. Such a preliminary sketch of European multiplicity is not meant to be exhaustive. Rather, it suggests a new ethos in the study of European politics that privileges historicism, practice, and Europe’s recursive relationship to the world/globe.

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)0.009
metaresearch head score (Gemma)0.016
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 score0.017
Threshold uncertainty score0.048

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.016
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.003
Science and technology studies0.0110.045
Scholarly communication0.0170.036
Open science0.0020.021
Research integrity0.0030.006
Insufficient payload (model declined to judge)0.0070.001

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 head0.068
GPT teacher head0.292
Teacher spread0.224 · 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

Citations50
Published2011
Admission routes1
Has abstractyes

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