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Record W780376020 · doi:10.1163/22131418-00204009

Revolution in the Age of Identity: North Africa and the Postcolonial Condition

2014· article· en· W780376020 on OpenAlexaff
Farid Laroussi

Bibliographic record

VenueSociology of Islam · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical and Social Issues
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsContext (archaeology)Independence (probability theory)PoliticsPower (physics)UnrestIdentity (music)Meaning (existential)SociologyNothingGender studiesResistance (ecology)Political economyHistoryPolitical scienceLawAestheticsEpistemology

Abstract

fetched live from OpenAlex

To understand the meaning and the scope of the “Arab Spring”, one workable methodology is to examine the reality of the unrest in a specific geographical area. Within a context of increasing political and cultural interaction North Africa has managed to maintain separate identities. This article is an attempt to examine why the Arab uprisings fail, or rather never materialize in Algeria and Morocco? This topic becomes fascinating with a view to understand the structural changes from the age of independence to an interdependence that seems to leave undemocratic regimes untouched, while the postcolonial condition becomes a disputed issue. History, economics, and demographics are useful tools in order to examine processes that may otherwise be dumbed down into happy theories of liberation movements. There is nothing much happy in today’s North Africa, be they strategies of resistance or the power structures. In this article I will analyze the specific tension that exists between a power that has been consolidating over the decades and the counterhegemonic spiral that eventually placed Algerians ahead of the “Arab Spring” wave.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.028
Threshold uncertainty score0.064

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0140.021
Scholarly communication0.0050.007
Open science0.0000.006
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0030.000

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 head0.022
GPT teacher head0.316
Teacher spread0.294 · 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 designNot applicable
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
Published2014
Admission routes1
Has abstractyes

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