The Prediction of Stakeholder participation in Project Execution on Completion of Urban Roads Transport Infrastructure Projects in Kenya
Bibliographic record
Abstract
This paper examines the influence of stakeholder participation in project execution on completion of road projects implemented by Kenya Urban Roads Authority. Descriptive research survey design was used for collection of both quantitative and qualitative data. Analysis was performed using correlation and regression analysis. The results were r = 0.796, R2 = 0.634, F (4, 209) = 90.503 and p<0.000<0.05. The findings revealed that stakeholder participation in project execution showed a strong, positive and statistically significant relationship with completion of urban road transport infrastructure projects and accounted for 63.4% of total variation in such projects. The study recommends government agencies should endeavour should work together during project implementation to ensure that service lines and acquisition of land is done ahead of time to avoid delay in completion. This will aim at ensuring quality work is achieved by both the client and the consultant through a collaborative stakeholder engagement. In conclusion, the findings of this study will shape the future of road construction and stakeholder engagement in road construction projects.
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".