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Record W4403424934 · doi:10.1080/07352166.2024.2410279

Exploring the street economy in African cities: A review of practices, regulatory policies, and challenges of urban governance in Ghana

2024· review· en· W4403424934 on OpenAlex
Barnabas Addi, Clifford Amoako, Stephen Appiah Takyi, Gideon Abagna Azunre, Owusu Amponsah

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

VenueJournal of Urban Affairs · 2024
Typereview
Languageen
FieldSocial Sciences
TopicUrban and Rural Development Challenges
Canadian institutionsConcordia UniversityUniversity of Waterloo
Fundersnot available
KeywordsCorporate governanceUrban policyUrban economicsEconomic growthUrban planningEconomyBusinessEconomic geographyPolitical scienceEconomics

Abstract

fetched live from OpenAlex

This paper explores the governance and resilience of the urban street economy in Ghanaian cities as a reflection of the operational features of informality in African cities. The paper draws on a comprehensive review of secondary documents to explore the practices, policy regulation, urban governance challenges, and resilience of the street economy in urban Ghana. Findings show that eviction, relocation, harassment, and merchandise confiscation are the orthodox policy measures by city authorities for managing and regulating street vending. Nevertheless, the street economy continuously reproduces and spatially redistributes itself across the urban landscape, exemplifying its resilience despite state intolerance and repression. The paper concludes by recommending that city authorities embrace street vending, and by extension, urban informality, as a part of Southern urbanism and, therefore, develop more inclusive and less hostile policies to regulate such activities.

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)0.003
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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.784
Threshold uncertainty score0.904

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.170
GPT teacher head0.333
Teacher spread0.163 · 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