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Record W2618163784 · doi:10.4102/apsdpr.v1i1.23

Redeeming Financial Pledges for Africa's Implementation of the NEPAD Initiative: An Appraisal

2012· article· en· W2618163784 on OpenAlexaboutno aff
Edwin Ijeoma

Bibliographic record

VenueAfrica’s Public Service Delivery and Performance Review · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Development and Aid
Canadian institutionsnot available
FundersNew Partnership for Africa's Development
KeywordsPaceGeneral partnershipEconomic growthPolitical scienceCapital (architecture)BusinessInternational tradeDevelopment economicsEconomicsFinanceGeography

Abstract

fetched live from OpenAlex

The New Partnership for Africa’s Development (NEPAD) and challenges of its foreign technical and capital flow need to be appraised after many years of the establishment of the NEPAD initiative and the role out of its African development agenda. The NEPAD’s strategies for implementation of projects and programmes within the foreign technical and capital flow expectations were considered important in taking the initiative forward. NEPAD sought both technical and capital flow support from the international community especially the United Nations agencies and the G8 countries - the United States of America, Britain, Canada, Germany, France, Japan, Italy and Russian Federation and many other development partners. But the high expectations of accelerated implementation of the NEPAD projects and programmes based on the G8 promises dropped following the low pace of fulfilling those promises in spite the perceived acceptance of the NEPAD initiative by the international community. As an Africa’s own agenda towards fast-tracking development, little or no impact has been recorded within the foreign technical and capital flow component of the NEPAD initiative. In the NEPAD 2012 business plan, it was also eluded that redemption of these pledged remains a huge challenge for the organization hence the need for this appraisal.

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)0.002
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.900
Threshold uncertainty score0.449

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
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 head0.094
GPT teacher head0.362
Teacher spread0.268 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations0
Published2012
Admission routes1
Has abstractyes

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