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Record W2485938141 · doi:10.1080/13698249.2016.1205561

Politics in the shadow of the gun: revisiting the literature on ‘Rebel-to-Party Transformations’ through the case of Burundi

2016· article· en· W2485938141 on OpenAlex
Katrin Wittig

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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueCivil Wars · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicPolitical Conflict and Governance
Canadian institutionsUniversité de MontréalCanadian Institute for International Peace and Security
FundersPierre Elliott Trudeau Foundation
KeywordsPoliticsAuthoritarianismScholarshipShadow (psychology)Political sciencePolitical violencePolitical economySociologyArmed conflictLawDemocracy

Abstract

fetched live from OpenAlex

This article provides a critical review of 'rebel-to-party transformation' scholarship. It shows how three flawed assumptions have underpinned much of the literature: (1) an ideal-typical differentiation between rebel group and political party as distinct by their use or rejection of violence; (2) the analysis of armed conflict as breakdown of 'normal' politics, and the study of 'rebel-to-party conversions' as a gradual, natural shift from violence back to politics; (3) a failure to integrate the study of rebel legacies into an examination of broader authoritarian legacies. These assumptions have clouded our understanding of politico-military organizations in conflict-torn societies, which combine social protest, armed rebellion, political violence, and party politics throughout their history. Drawing on the 'no peace, no war' and 'armed politics' paradigms, this article revisits these assumptions through the case of Burundi.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.755
Threshold uncertainty score0.473

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.025
GPT teacher head0.313
Teacher spread0.288 · 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