International Studies in Africa. Interview with Prof. O. Igho Natufe, Nigeria
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.010 | 0.002 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".