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Record W4413230760 · doi:10.1017/9781009698382

The Undulating Capacity of the State

2025· book· en· W4413230760 on OpenAlexaff
Ato Kwamena Onoma

Bibliographic record

VenueCambridge University Press eBooks · 2025
Typebook
Languageen
FieldSocial Sciences
TopicUrban and Rural Development Challenges
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsUrbanismState (computer science)Psychological interventionGeographyColonialismCapital cityEconomic geographyCapital (architecture)Element (criminal law)Political scienceSociologyArchitectureArchaeologyPsychologyLaw

Abstract

fetched live from OpenAlex

This Element weaves together literatures on autochthony and belonging and on African urbanism to shed new light on the ability of the African state to undertake development interventions in some of the most important urban centers on the continent. It explains variations in levels of trust in the African state that shape neighborhoods' responses to states' development interventions. Focusing on the Senegalese state's construction of the VDN 2 highway on the outskirts of the capital, Dakar, the author argues that in major African cities with colonial origins, whether neighborhoods project themselves as 'autochthonous' or 'migrant' communities shapes general attitudes toward the state and influences the capacity of the state to carry out development interventions in these areas. In these cities, states are more likely to successfully intervene in neighborhoods dominated by 'new' migrants to the city than in those neighborhoods that portray themselves as 'autochthones' of these cities.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0050.018
Scholarly communication0.0060.005
Open science0.0000.005
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.001

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 head0.034
GPT teacher head0.220
Teacher spread0.186 · 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 designTheoretical or conceptual
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

Citations2
Published2025
Admission routes1
Has abstractyes

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