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Record W2974923064 · doi:10.1177/1367877919842572

Culture and society during revolutionary transformation: Rereading Matthew Arnold and Antonio Gramsci in the context of the Arab Spring’s cultural production

2019· article· en· W2974923064 on OpenAlexaff
Eid Mohamed

Bibliographic record

VenueInternational Journal of Cultural Studies · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical theory and Gramsci
Canadian institutionsUniversity of Guelph
FundersQatar National Research Fund
KeywordsModernitySociologyPoliticsContext (archaeology)AestheticsSocial sciencePolitical economyPolitical scienceLawHistoryPhilosophy

Abstract

fetched live from OpenAlex

Viewing revolutionary political change as a multi-influential, multi-scaled, long-term process allows for the analysis of (in)visible transformations of identities and social realities. The main problem with this approach, however, is that it considers change only in terms of rupture, shift, and transition, or in terms of modernity versus tradition. While many studies focus on the dynamics and indicators of change, they have not adequately considered the role of culture in forming the basis of revolution or in determining how it unfolds. This article couples the theoretical work on culture and society by two pioneering cultural critics, Matthew Arnold and Antonio Gramsci, to make sense of how Arab cultural production can be viewed as a motor for revolutionary change during the Arab Spring.

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)0.003
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 score0.051

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0080.027
Scholarly communication0.0080.006
Open science0.0010.003
Research integrity0.0040.006
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 head0.031
GPT teacher head0.335
Teacher spread0.304 · 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

Citations6
Published2019
Admission routes1
Has abstractyes

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