Youths Involvement in Self-Help Community Development Projects (SHCDPs) in Nsukka, Enugu State, Nigeria
Bibliographic record
Abstract
In developing countries like Nigeria, every citizen has the right to be involved in any development activities that is targeted at meeting the “felt needs” of their community rather than wait endlessly for government intervention. Self-help community development activities like construction and maintenance of community roads and rural electrification among others, are expected to be facilitated by all the stakeholders in the community, including the youths who are legitimately the future custodian of the welfare of their community and the greatest investment that can be utilized to mobilize local material resources for the community as well as the country’s development. This study therefore poses that, if youths are recognized as clear assets in self-help community development projects, the youths with their wealth of experiences and energy can be engaged effectively in meaningful tasks for the improvement of their environment. Thus, the issue of youth migration or abandonment of projects can also be ameliorated. Quantitative and qualitative data were collected on self-help projects embarked on in the communities studied, areas of youths involvement in self-help projects and the constraints encountered by youths. Findings of the study revealed that the Nsukka communities studied embarked on rural electrification, construction of boreholes and water drainage facilities among others; the areas of youths involvement in self help community projects was low; while youths not given free hands to be involved in SHCPs and parents not allowing their youths to be involved in SHCPs among others, were constraints to youths involvement in self help community projects. Recommendations were made based on the findings of the study.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.000 | 0.001 |
| 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".