Deliverology in Community Economic Development: Enhancing Results Frameworks and Performance Measurement
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
<p> </p><p><span> </span>This paper will assess the viability of implementing an alternative delivery model and performance measurement framework – commonly known as ‘deliverology’ – at the level of community economic development. First, a review of relevant literature on traditional economic development delivery models and performance metrics is conducted to determine strengths and weaknesses. Next, a deliverology approach is defined and analyzed to determine whether such a model can address the weaknesses of more traditional approaches. The results indicate that a deliverology approach has many potential advantages for economic development service delivery and addresses many of the weaknesses of current models and frameworks. Since deliverology remains rather new compared to more traditional approaches, further research in terms of a case study in a large urban municipality is recommended as a way to test the applicability of deliverology to community economic development. </p><p><strong>Keywords: </strong>deliverology, performance measurement, results and delivery framework, community economic development, service delivery model</p>
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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 | 0.006 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 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) | 0.001 | 0.001 |
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