Taking Stock of Poverty Reduction Efforts in Nigeria
Bibliographic record
Abstract
This study is an evaluation of the Poverty Eradication Programmes in Nigeria. It tries to assess their effectiveness in helping to improve on the lives of the poor. Primary data were collected through questionnaire administered to randomly selected adult male and female residents in Enugu State of Nigeria. Secondary data were collected from the Poverty Eradication office in the State. The analysis shows that most of the poverty reduction efforts had no significant impact on the lives of the poor. Even those that were recorded as effective had negligible impact on the populace to have reduced poverty. The study enumerates among others inadequate funding, mismanagement of resources and inadequate infrastructures as problems stifling most poverty alleviation programmes in Nigeria. The study recommends that in addition to establishing these Poverty alleviation programmes, Nigeria should strive to move away from import dependent economy to an export oriented one. Key words: Poverty eradication programmes; Nigeria; Effectiveness
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".