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Record W7165637953 · doi:10.18192/politika.8319

The African Development Strategy

2025· article· W7165637953 on OpenAlexaff
Oghenefejiro Mejire

Bibliographic record

VenuePolitika – Undergraduate Journal of International Affairs Politics and Policy · 2025
Typearticle
Language
FieldSocial Sciences
TopicLocal Economic Development and Planning
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsAgency (philosophy)AutonomyDeveloping countryIntervention (counseling)State (computer science)Development aidLeast Developed CountriesLiberalization

Abstract

fetched live from OpenAlex

Economic and social development in African countries has not been progressing at the same rate as observed in countries in other world regions. This is despite the fact that African countries have implemented the trade liberalization policies and reduced state intervention models that have helped other countries, particularly in Europe, develop. This paper suggests parties interested in contributing to the development of African countries should focus less on offering economic policy solutions and more on strategies which enable African countries to gain both the agency and autonomy they need to build strong institutions (educational and infrastructural amongst others). This is essential because current African development strategies treat Africa as a monolith. African development affects different African countries with different local contexts. In recognition of this, African development policies should focus on building local agency, autonomy, and institutions. African countries need to develop strong institutions grounded in local contexts to successfully implement development policies to help their countries grow fiscally and societally.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.034
Threshold uncertainty score0.115

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0030.003
Science and technology studies0.0020.001
Scholarly communication0.0050.003
Open science0.0010.004
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0340.016

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 head0.016
GPT teacher head0.306
Teacher spread0.289 · 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 source (direct Gemma or distilled Codex), 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
Published2025
Admission routes1
Has abstractyes

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