Approaches to Community Development in Nigeria, Issues and Challenges: A Study of Ebonyi State Community and Social Development Agency (EB-CSDA)
Bibliographic record
Abstract
The study examined the activities of the Ebonyi State Community Based Social Development Agency (EB-CSDA), particularly on poverty reduction in the rural communities of Ebonyi State. Survey and content Analytical Approach were adopted. Data were extensively drawn from documentary papers, publications, oral interviews, direct observation and the use of structured questionnaire distributed to 400 sampled respondents from rural communities in the 13 LGAs of the State. Findings reveal that despite efforts of successive governments aimed at reducing poverty, the scourge has remained pervasive. EB-CSDA however, is rated high in the provision of micro-projects to the rural communities but its approach is group- targeted rather than on the individual poor. Consequently, the paper recommends among others that adequate background studies should be undertaken to understand the demographic characteristics of the rural communities to enable development agencies target their efforts on the real poor based on sufficient needs assessments of recipients.
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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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.019 | 0.006 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| 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".