Implementation, Stakeholders` Participation and Sustainability of Public Projects in Kenya: A Conceptual Framework
Bibliographic record
Abstract
Many public organizations are faced with numerous constraints that limit optimum and sustainable realization of their long-term aspirations. Similarly, implementation of public projects is often hampered by rigid bureaucracies that often edge out good opportunities for public and stakeholders to contribute to sustainable decisions. In response, most of innovative public organizations are quickly formulating guidelines and procedures for integrating stakeholders in project decisions making for greater responsiveness and sustainability. However, many public projects never live to full realization of sustainable changes. Questions arise on the strategies employed to ensure inclusive stakeholder participation in sustainable project implementation. Whereas the conceptualization of project sustainability is abstractly defined in literature, studies have linked implementation strategies to sustainability outcomes. But projects are implemented in very dynamic contexts. Hence the need for case-based evaluation of how project implementation connects to sustainability. Despite the indications that stakeholder participation can play a dualistic role in project sustainability, past empirical studies have assessed stakeholders` participation from linear perspective. This study seeks to fill the knowledge gaps by investigating the interaction between stakeholders` participation and the relationship between implementation and sustainability of public projects in Kenya.
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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 | 0.007 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.007 | 0.014 |
| Scholarly communication | 0.009 | 0.009 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.004 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".