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Record W4386449927 · doi:10.61090/aksujacog.2023.009

Development Strategies for Africa: Lessons from Asia, Europe, USA and Canada

2023· article· en· W4386449927 on OpenAlexaboutno aff
Samuel Ime Udofa, Tarila Ayibaebi Ekeuwei

Bibliographic record

VenueAKSU Journal of Administration and Corporate Governance · 2023
Typearticle
Languageen
FieldComputer Science
TopicEconomic Growth and Development
Canadian institutionsnot available
Fundersnot available
KeywordsEconomic growthModernization theoryLivelihoodDiversification (marketing strategy)BusinessNatural resourceDeveloping countryChinaLanguage changeDevelopment planSustainable developmentPolitical scienceDevelopment economicsEconomicsGeographyAgricultureMarketingEngineering

Abstract

fetched live from OpenAlex

The study analyzed development strategies for Africa with specific emphasis on lessons from the developed countries of Europe, Asia, the United States of America, and Canada. Development is akin to a sustainable livelihood, hence, the need for a country to devise means for the achievement and maintenance of accelerated improvements in the holistic affairs of the people and their environs. The objectives of the study were to analyze major development strategies suitable for African countries, identify challenges of development strategies in African countries and proffer solutions to ameliorate them. The Economic Theory of Modernization was adopted for the study. The qualitative research methodology which is mainly descriptive was adopted for the study through the use of secondary sources of data like internet sources, textbooks, journals, etc. It was discovered that primary exports and diversification, Foreign Direct Investment (FDI); planned use of external aids, natural resources economics, and domestic resource mobilization, constitutes major development strategies for the underdeveloped and developing countries of Africa. It was also discovered that problems of unorganized vision and plans, corruption, poor funding, ineffective tax administration system and poor plan implementation and evaluation limit the success of development strategies in African countries. It was recommended that special funds for development plans should be independent of the general budget and agencies of implementation and evaluation should be created for any development plan or programme.

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)0.000
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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.754
Threshold uncertainty score0.960

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.051
GPT teacher head0.237
Teacher spread0.186 · 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 designTheoretical or conceptual
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

Citations1
Published2023
Admission routes1
Has abstractyes

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