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Record W4386435552

International Studies in Africa. Interview with Prof. O. Igho Natufe, Nigeria

2016· article· en· W4386435552 on OpenAlexaboutno aff
Dzherri Roulings Tafotie Deffo Jerry Rowllings

Bibliographic record

VenueDOAJ (DOAJ: Directory of Open Access Journals) · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicGlobal Political and Social Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceGeography
DOInot available

Abstract

fetched live from OpenAlex

O. Igho Natufe is a Nigerian-born Sovietologist and a specialist in International Relations and Soviet/ Russian Foreign Policy. Dr. Natufe is an alumnus of the People's Friendship University, a former university professor of Political Science (University of Ghana, Accra, Ghana, 1978-1980, and the University of Benin, Benin City, Nigeria, 1980-1989) and senior advisor to the Government of Canada (1970-1978, 1989-2011). He is author of several of scientific research, including “Soviet policy in Africa: from Lenin to Brezhnev”. In his interview he speeks about IR studies in Africa, about mutual perceptions of Russians and Africans, about his recent book on Soviet and Russian Foreign Policy, about scramble for Africa between great and emerging powers. He expects Russia, the USA, and China to enhance their influence in Africa, at the expense of Britain and France. Prof. Natufe pays a special attention to the role of African Diaspora in Development of African countries.

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)0.002
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: Qualitative · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.025
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0100.002
Scholarly communication0.0030.004
Open science0.0000.002
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0070.001

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 head0.401
GPT teacher head0.604
Teacher spread0.202 · 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 designQualitative
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

Citations0
Published2016
Admission routes1
Has abstractyes

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