Exploring the Leadership Dimension of Developmental Evaluation: The Evaluator as a Servant-Leader
Bibliographic record
Abstract
Abstract: Evaluators working on a developmental evaluation are expected to work collaboratively with program developers to marshal evaluation in ways that support ongoing program development and adaptation. This expectation introduces novel challenges to evaluation practice and exposes the evaluator to the treacherous waters of program complexities that are likely unique to each developmental evaluation. What may have become accepted norms about evaluator roles, responsibilities, and evaluator-client relationships may no longer hold true in the course of repurposing evaluation for program development. Early writers on developmental evaluation have suggested that evaluators incorporate elements of servant leadership to help navigate the situational challenges associated with developmental evaluation. This Practice Note extends current dialogue on servant leadership as it is situated in developmental evaluation by contributing a discussion on the utility of servant leadership in guiding developmental evaluator behaviour and decision-making.
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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 | 0.099 | 0.075 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.014 | 0.026 |
| Scholarly communication | 0.021 | 0.011 |
| Open science | 0.002 | 0.013 |
| Research integrity | 0.002 | 0.006 |
| 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".