Poverty Alleviation Progrmme and Rural Dwellers in Nigeria: Socio-Economic Implication
Bibliographic record
Abstract
Poverty has been a global problem which is affecting over four billion people all over the world. Nigeria as a developing country is having her own share of the problem, which has attracted many researches both national and international. There have been argument about the effectiveness of poverty alleviation program put in place by government, hence this study looked at the impact of different poverty alleviation programme on rural dwellers in Nigeria. Survey research design method was adopted for the study. The instrument used for data collection was questionnaire titled: poverty alleviation programme scale (PPAPC). It contained 18 items and was divided into two sessions. The population of the study contained three hundred people living in rural community of Uso in Owo Local Government. The findings from the data collected revealed that respondents agreed that poverty alleviation programme has significant effect on the poverty indices in the rural area such as access to health care facilities and loan. It is therefore recommended that government should continue to introduce poverty alleviation programme as well as encouraging individual philanthropists to assist in alleviating poverty in rural areas.
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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 | 0.000 | 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 | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".