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Record W4383955889 · doi:10.1177/24551333231165831

Community Participation in Planning Social Infrastructure Delivery in Ghana’s Local Government: A Case Study of Shai Osudoku District

2023· article· en· W4383955889 on OpenAlex
Allan Kasapa, Charles Gyan

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 Development Policy and Practice · 2023
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicPublic-Private Partnership Projects
Canadian institutionsMcGill University
Fundersnot available
KeywordsStakeholderDecentralizationLocal governmentProcess (computing)BusinessPublic relationsGovernment (linguistics)Unintended consequencesEnvironmental planningProcess managementPublic administrationPolitical scienceGeography

Abstract

fetched live from OpenAlex

The unintended consequences associated with non-inclusive participation are a key structural challenge facing Ghana’s decentralisation efforts over the past 25 years. This article uses a social transformation framework to examine the planning process in the delivery of social infrastructure. The qualitative descriptive design that draws from the naturalistic paradigm provided an in-depth exploration of stakeholder participation in planning social infrastructure delivery. Results suggest that the planning process is initiated by the district assembly within a legal framework and for which local participation is by invitation. The article argues for the setup of a local management team as part of the structure for social infrastructure delivery.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.080
Threshold uncertainty score0.496

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0000.000
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 head0.082
GPT teacher head0.366
Teacher spread0.284 · 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