The Effect of American’s Smart Power Approach and Nigeria Economic Recession, Issues and Prospects
Bibliographic record
Abstract
America smart power approach and Nigeria economic recession discourses the effect of smart power on Nigeria economic recession. Nigeria and America had enjoyed all manner of relationship ranges from commercial, political and cultural values. This relationship between them reached a certain climax in 2010, but later decrease in the last four years. The decline in trade relations were because Nigeria refuse signatory to gay marriage proposed by America government. Thus, America adopted smart power approach to compel Nigeria signatory to gay marriage, proposal. The paper examines the effect of smart power on Nigeria economic recession. Data for this paper were drawn from secondary source mainly from the library and Nigeria dailies. Historical analysis were also analyze via content analysis. The paper finds that Nigeria over dependant of single commodity, increases weight of economic recession that create inflation, unemployment, high cost of living and reduction in taxation. Thus, the paper recommends that Nigeria government should imbibe on diversification of economic policy from producer of raw material to producer of finished goods to attract various trade relations; this is set out to weaken the America economic dominance in international politics.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
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".