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Record W4239836266 · doi:10.1017/cbo9781316415658

Democratization from Above

2015· book· en· W4239836266 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

VenueCambridge University Press eBooks · 2015
Typebook
Languageen
FieldSocial Sciences
TopicCorruption and Economic Development
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsDemocratizationArgument (complex analysis)DemocracyPolitical scienceLocal governmentPoliticsAutonomyCorporate governancePublic administrationState (computer science)Political economyEconomic systemSociologyEconomicsLawManagement

Abstract

fetched live from OpenAlex

Democratization from Above seeks to explain why some national and state governments in the developing world introduce reforms to make local governance more democratic while others neglect or actively undermine democracy at local levels of government. The study challenges conventional wisdom that local democratization is implemented as a means of granting more autonomy to local actors. Instead, Anjali Bohlken argues that local democratization offers higher level government elites who lack control over party organizational networks an alternative means of increasing the effectiveness of local intermediaries on whom these elites rely to mobilize political support. The book starts with a focus on India and uses original data, and a combination of qualitative and quantitative evidence, to show support for the argument. The study then relies on an original cross-national dataset to show how the argument helps explain the variation in the implementation of local democratization reforms across the developing world.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.423
Threshold uncertainty score0.907

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 studies0.0000.000
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 head0.036
GPT teacher head0.232
Teacher spread0.195 · 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