Interorganizational evaluation capacity building in the public, health and community sectors
Bibliographic record
Abstract
Evaluation capacity building is generally conceptualized as occurring either at the individual or the organizational levels. However, ongoing societal crises require organizations within or across sectors to work together to find solutions to complex problems and to evaluate joint initiatives. Interorganizational evaluation capacity is required to ensure the ongoing conduct and use of evaluations to support interorganizational decision-making and improvement. This exploratory study describes and analyzes four cases of interorganizational evaluation capacity building initiatives in the public, health and community sectors in Canada and Denmark to identify their key dimensions. Preliminary findings highlight the importance of developing individual and organizational evaluation capacity as well as the need to provide stakeholders with interorganizational evaluation training and projects in which they can work together to better learn about each other’s organizations and challenges and find solutions to common problems.
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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 | 0.086 | 0.066 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.005 |
| Science and technology studies | 0.012 | 0.017 |
| Scholarly communication | 0.013 | 0.006 |
| Open science | 0.003 | 0.023 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".