The Art of the Nudge: Five Practices for Developmental Evaluators
Bibliographic record
Abstract
Abstract: This article focuses on developmental evaluation, based on an action research study involving a group of developmental evaluators in a three-year comprehensive community initiative on youth and community change. The study presents five practices found central to the art of the nudge: (a) practicing servant leadership, (b) sensing program energy, (c) supporting common spaces, (d) untying knots iteratively, and (e) paying attention to structure. These practices can help developmental evaluators detect and support opportunities for learning and adaptation leading to right-timed feedback.
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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 | 0.430 | 0.313 |
| Meta-epidemiology (narrow) | 0.002 | 0.002 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.012 | 0.005 |
| Science and technology studies | 0.026 | 0.109 |
| Scholarly communication | 0.033 | 0.034 |
| Open science | 0.007 | 0.038 |
| Research integrity | 0.012 | 0.032 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".