Capacity Building Initiatives as a Predictor for Sustainability of Projects: A Study of Public Borehole Water Project in Kitui County-Kenya
Bibliographic record
Abstract
This study focuses on capacity building initiatives influences sustainability of public boreholes water projects. The following was the objective; to assess the extent to which learning from capacity building initiatives, influences the sustainability of public borehole water projects in Kitui County-Kenya. The study tested one null hypothesis to establish whether the association among the study variables was significant. The target population was 366234 project beneficiaries, 396 chairpersons and 8 undertakers. A sample was drawn from this population using a formula adding to 383 project beneficiaries and 167 chairpersons. Purposive sampling was employed to select 8 undertakers in charge of public boreholes in each Sub counties. With R2=0.52, r=0.721, F(2,506) =39.01 at p=0.000, the hypothesis that there is no significant relationship between capacity building initiatives and sustainability of public borehole water projects in Kitui County-Kenya is therefore rejected. The study findings are expected to evidently demonstrate how capacity building initiatives program should be undertaken in public borehole water projects to enhance project sustainability.
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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 | 0.003 |
| 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 | 0.000 | 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".