The Menace of Poverty and the Challenges of Public Policy Making in Nigeria
Bibliographic record
Abstract
This study contends that poverty is a global phenomenon and no nation is immune to the scourge it is capable of causing especially when determined and clear policy measures are not put in place to check the menace. The objectives that interrogates the nerves of this discourse is to assess the rate of poverty in Nigeria as well as examine the role of government in poverty eradication. Also, to identify the various initiatives that governments in Nigeria have put in place since the pre; through and the post Structural Adjustment Programme era of the nation. Findings from the study reveals that attitudinal response and approach of both the government and the governed is appalling. Also, there exist a sharp disconnect between the government and the governed which has resulted into policy formulations that fail to meet the yearning, demand and desire of the people. Meanwhile, it was established that political and policy instability, poor targeting mechanism and inadequate coordination among the existing three tiers of government have done harm to programme implementation. The paper makes contribution by providing information and it adopt secondary source of data gathering. It concludes by recommending strengthened relationship/ communication between the governments and the governed to ensure proper and adequate policies that will meet their targets are made as well as enforcement of initiatives of governments directed at reducing poverty.
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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 | 0.009 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.011 | 0.011 |
| Scholarly communication | 0.011 | 0.005 |
| Open science | 0.000 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 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".