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Record W4210465467 · doi:10.1080/14747731.2021.2025296

The genealogy of social and political mobilization in Lebanon under a neoliberal sectarian regime (2009–2019)

2022· article· en· W4210465467 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

VenueGlobalizations · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicMiddle East Politics and Society
Canadian institutionsMount Allison University
Fundersnot available
KeywordsSectarianismNeoliberalism (international relations)AllianceClass conflictPolitical economyPoliticsPower (physics)Class formationWorking classPolitical scienceSocial movementSociologyLaw

Abstract

fetched live from OpenAlex

This article adopts a structural, class-based and a political economy approach to the October 17 2019 Revolution in Lebanon inspired by David Harvey’s reading of neoliberalism, class struggles and class alliances. Starting from the re-emergence of a class-based discourse in the streets, and the widespread popular mobilization that crossed social classes, sectarian and regional divides, the article sets out to show that neoliberal sectarianism in Lebanon polarized society between those who control political power and rent seeking capital, and Lebanon’s discontented middle class, and a dispossessed working class. It sets out to argue that the structural effects of neoliberal sectarianism on social classes ushered in the wave of mobilization setting the stage for the 2019 protests. The article also offers preliminary reflections on post 2019 organizing and the challenges to cross-class alliance formation that are needed to shift the balance of class power away from the powerful elites.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.471
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0000.000
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 head0.020
GPT teacher head0.301
Teacher spread0.282 · 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