Poverty alleviation programs in Nigeria: a study on World Mission Agency (WMA) using principal component analysis
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
The measurement of poverty in developing nations are carried out to reduce the severity of poverty in such nations. There are Governmental and Non-Governmental organizations that take poverty reduction as a project, and one such is a faith-based oraganisation such as World Mission Agency (WMA). This study focuses on the poverty alleviation of WMA and evaluates the impact accessibility and significance of WMA poverty alleviation programs. A survey was conducted at Ota, Ogun state, Nigeria. Data collected were analyzed using the principal component analysis and the t-test. The results obtained were discussed, one vivid findings of this study was that the effectiveness of the poverty alleviation programmes of the World Mission Agency in Ota was based on the systematic establishment of programmes that address the needs of people at the grassroots level and recommendations were made which include that the federal government of Nigeria should take a cue from the World Mission Agency Poverty Alleviation Programs
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.005 |
| Science and technology studies | 0.002 | 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) | 0.000 | 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 it