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Record W2756633758 · doi:10.1017/s0008423917000993

A Tradition Co-opted: Participatory Development and Authoritarian Rule in Sudan

2017· article· en· W2756633758 on OpenAlexaff
Anne-Laure Mahé

Bibliographic record

VenueCanadian Journal of Political Science · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicFoucault, Power, and Ethics
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsAuthoritarianismCitizen journalismParticipatory democracyPower (physics)CornerstonePoliticsPolitical scienceDemocracyState (computer science)Participatory developmentPublic administrationSociologyPolitical economyEconomic systemEconomicsGeographyLawComputer science

Abstract

fetched live from OpenAlex

Abstract The concept of participation is a cornerstone of development and democracy discourses, but studies on participatory development rarely examine the political regimes those policies are embedded in. Yet, in authoritarian contexts, participation is ambiguous, potentially threatening—as it can be connected to democratic ideals—and it also can be used as a resource, a tool for domination. Through an analysis of participatory development projects implemented in Sudan, I explore how power relations are renegotiated at the local level. Relying on data collected during fieldwork in Khartoum and the state of North Kordofan, where the projects are located, I highlight the disconnect between the discourse surrounding the participatory devices, which establishes an horizontal relationship between citizens and the local government, and the actual practices that strengthen the latter's power. In doing so, the article challenges a linear, top-down conception of authoritarian power and reveals the tensions that exist between institutional levels.

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 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)0.003
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.919
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.004
Scholarly communication0.0000.001
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 head0.118
GPT teacher head0.393
Teacher spread0.275 · 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; both teacher heads agree on what is shown here.

Study designObservational
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

Citations9
Published2017
Admission routes1
Has abstractyes

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