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Record W2584105051 · doi:10.1163/1569206x-12341501

Beating Time in the Slow Movements: Bensaïd’s Revolutionary Rhythms

2016· article· en· W2584105051 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueHistorical Materialism · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicCommunism, Protests, Social Movements
Canadian institutionsToronto Metropolitan UniversityUniversité du Québec à Montréal
Fundersnot available
KeywordsTemporalityOffensiveSocial movementSociologyPeriod (music)PoliticsClass conflictPolitical economyRestructuringWorking classInsurgencyGender studiesPolitical scienceAestheticsEpistemologyLawManagementPhilosophyEconomics

Abstract

fetched live from OpenAlex

Daniel Bensaïd was prominent among the revolutionary thinkers and activists who emerged from the mass insurgency of the 1960s, a period in which anti-capitalist organisers had genuine social weight grounded in connections to broad layers of the working class and radical movements. As the neoliberal offensive developed, working-class and allied movements experienced crucial defeats that marginalised anti-capitalist theory and practice. Bensaïd developed a unique theoretical analysis of radical mobilising during the neoliberal period, at once grounded in the history of revolutionary organising and audaciously open-ended in assessing the impact of capitalist restructuring and the employers’ offensive. The basis of his theoretical renewal lay in a new approach to understanding temporality that undercut any sense of socialist inevitability, and a commitment to revolutionary pluralism that was crucially located in the political sphere.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation 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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.558
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.027
GPT teacher head0.277
Teacher spread0.250 · 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