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Record W4312263163 · doi:10.4102/aosis.2022.bk270

State-owned enterprises in Africa and the economics of public service delivery

2022· book· en· W4312263163 on OpenAlexfundno aff
Fulufhelo Netswera, Omololu Fagbadebo, Nirmala Dorasamy, Tunde A. Abioro, Arulraj Arockiasamy, Benon C. Basheka, Edward Bbaale, Gregory Davids, John S. Kihamba, Msuthukazi Makiva, Ibrahim Mukisa, Magashi J. Ntegwa, Ibrahim Mike Okumu, Ravinder Rena, Evans Sokro, Joweria M. Teera

Bibliographic record

Venuenot available
Typebook
Languageen
FieldSocial Sciences
TopicCorruption and Economic Development
Canadian institutionsnot available
FundersAfrican UnionAmerican University in CairoUniversity of GhanaMcMaster UniversityEuropean CommissionNatural Environment Research CouncilKwame Nkrumah University of Science and TechnologyUnited States Agency for International DevelopmentU.S. Department of Energy
KeywordsProcurementService delivery frameworkDilemmaBusinessCorporate governancePrivate sectorGood governanceGovernment (linguistics)Human capitalOrder (exchange)Public sectorService (business)State (computer science)Economic growthEconomic policyEconomicsEconomyFinanceMarketing

Abstract

fetched live from OpenAlex

This book intends to provide a continuous assessment of the crisis in governance in Africa. As it is, there are huge deficits in the capacity of African states to harness vast human and material resources to promote good governance. This manifests in pervasive corruption, collapsed service delivery, collapsed state-owned enterprises, eroded social trust, capital flight, escalating levels of poverty and wars, human insecurity, and stunted growth. The public sector is the pulse of service delivery because the entire governance system revolves around the sourcing of materials and services, mostly from the private sector, in order to achieve its public policy intents. The procurement process, therefore, ordinarily ought to yield positive economic outcomes and an efficiency-driven system in favour of the government itself and its service recipients. However, this more often than not is not the case. Despite its enormous wealth, the African continent is in an economic quagmire, a dilemma that requires multi-facet research activities. This is the motivation for this book.

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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.942
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0060.000

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 head0.043
GPT teacher head0.236
Teacher spread0.193 · 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 teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreOther

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

Citations5
Published2022
Admission routes1
Has abstractyes

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