Translating Project Achievements into Strategic Plans: A Case Study in Utilization-Focused Evaluation
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Background: Utilization-focused evaluation (UFE) is a decision-making framework intended to design and implement evaluations that get utilized. In this case study, the UFE approach was applied to the evaluation of a youth training and employment program in Kenya. Purpose: Analyze a case study based on empirical experience with the lens of evaluation use and influence. Setting: Nairobi and other urban and peri-urban settings, Kenya. Intervention: The evaluation of a youth training and employment program that provided direct training for marginalized youth as well as capacity building for employment and adapted a Basic Employability Skills Training (BEST) model from India. Research design: Analysis of a case study to describe: how the evaluation approach provided enabling factors for funders and grantees to turn evaluation into a learning intervention; the benefit of clarifying a project’s theory of change; and learning how to combine summative and developmental evaluation. Data collection and analysis: A case study based on an evaluation consultancy. The evaluation included site visits, extensive documentation review, qualitative and quantitative data collection. Findings: The ‘facilitation of use’ (a step in UFE) provided a bridge between a summative and a developmental evaluation. The evaluators and program partners developed a learning relationship wherein the evidence influenced the subsequent project design and strategy.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.063 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.001 | 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 it