MétaCan
Menu
Back to cohort
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 OpenAlex
Eid Mohamed

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

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.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.301
Threshold uncertainty score0.223

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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