Government Sectoral Expenditure and Poverty Alleviation in Nigeria
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Poverty alleviation in the developing countries has been an issue of concern especially in Africa which accounts for two-thirds of the total number of people in the world living in extreme poverty. The World Poverty Clock indicates that half of Nigerian population are dwelling in abject poverty, implying that MDGs agenda seems to be ineffective in Nigeria which is the giant of Africa. Thus, this study examines the role of government sectoral expenditure on poverty alleviation using a secondary form of data covering a millennium period from 2000 to 2017. The study employs ordinary least squares technique and the regression result indicates that government expenditure on agriculture, building and construction, education and health do not have any significant impact on poverty alleviation in Nigeria. The study therefore concludes that government spending on these key sectors of the economy is insufficient and recommends that more funds should be budgeted to boost these sectors in order to eradicate the scourge of poverty in the country.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it