Effect of Strategic Planning on HIV and AIDS Project Implementation in Abuja
Bibliographic record
Abstract
Project implementation strategies at state level is critical to ensure HIV intervention response is appropriate for local context and ensure that resources allocation yields greatest efficiency and impact. It was noted that civil society organizations failure to implement plans properly was they do not have strategic plans that aligns with Abuja state strategic plan. The study assessed effect of strategic planning on implementation of second HIV Program Development Project (HPDPII) in Abuja. Population of the study were 18 project managers, monitoring and evaluation officers, and finance officers respectively who participated in HPDPII implementation. Stratified random sampling technique was used to select 47 respondents using Krecje’s and Morgan sample size determination table. Well-structured questionnaire was used to obtain data from respondents. Data analysis was conducted using SPSS 25.0 and smart PLS M3. The finding revealed a positive significant relationship between strategic planning and implementation of HPDPII (SP -> HPDPII: β = 0.549, t = 1.391, P < 0.10) and effect size between these variables is small. This study concludes that strategic planning lays the groundwork for successful project implementation. CSOs with clear, well defined, written down vision and mission statement has a better chance of been successful and implementing project successfully.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".