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Record W4387904599 · doi:10.1080/27708888.2023.2272296

Making Sense of the Global 1960s: The Situationist International and the Navel of the World <sup>1</sup>

2023· article· en· W4387904599 on OpenAlexaff
Pedro Monaville

Bibliographic record

VenueThe Global Sixties · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicCommunism, Protests, Social Movements
Canadian institutionsMcGill University
Fundersnot available
KeywordsSituationismAlienationPoliticsWorld literatureHistoriographyForegroundingSociologySkepticismDialecticSpectacleDecolonizationAestheticsPolitical scienceEpistemologyLawLiteraturePhilosophyArt

Abstract

fetched live from OpenAlex

This article revisits the history of the Situationist International (SI) from the perspective of its relationship with the Third World, with a specific focus on the Congo and, to lesser degree, Algeria. The SI is most often remembered for its critique of alienation in the West. Yet, the questions of decolonization, the Third World, and Third-Worldism were at the center of its political project, including its conceptualization of everyday life and of the society of spectacle. This project was not static and the SI went from a warm embrace of Third World revolutions to a position of strong skepticism, which was further accentuated after the uprisings of May 1968 in France. In its analysis of this evolution, the article revisits the works of Guy Debord, Raoul Vaneigem, Mustapha Khayati, and René Vienet; it also draws from the journal of the SI, the published correspondence of Debord, and various archival documents about the group. A strong focus is put on the importance of the notion of totality in the situationist critique. The article argues that this notion offers an interesting entry point into the current historiographical debate about the periodization of the global 1960s.

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)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.019
Threshold uncertainty score0.060

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0070.020
Scholarly communication0.0080.006
Open science0.0000.004
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.042
GPT teacher head0.349
Teacher spread0.307 · 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 designQualitative
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

Citations0
Published2023
Admission routes1
Has abstractyes

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