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Record W2100770781 · doi:10.1080/08039410.2015.1036112

Building Resilient Organizations for Effective Service Delivery in Developing Countries: The Experience of Ghana Water Company Limited

2015· article· en· W2100770781 on OpenAlex
Joshua Jebuntie Zaato, Frank L. K. Ohemeng

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

VenueForum for Development Studies · 2015
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicAgricultural risk and resilience
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsDeveloping countryBureaucracyService delivery frameworkBusinessPublic sectorDemocracyPublic relationsWater sectorService (business)Public administrationEconomic growthPolitical scienceMarketingEconomicsEngineeringWater supplyPolitics

Abstract

fetched live from OpenAlex

Public organizations in developing countries can only be effective if they are able to develop and implement public policies effectively and efficiently. However, what continues to bother scholars is how to ensure that such bureaucratic organizations are also accountable and democratic. Some have argued that the solution lies with the building of merit-based organizations. Nevertheless, we believe that a critical factor in building efficient organizations in developing countries is the designing and building of resilient organizations. In this article, we provide a theoretical framework for building resilient organizations in developing countries and use it to examine water sector reforms in Ghana.

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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.273
Threshold uncertainty score0.447

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
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 head0.035
GPT teacher head0.275
Teacher spread0.240 · 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