A Framework to Combine Mixed Methods Integration and Developmental Evaluation to Study Complex Systems
Bibliographic record
Abstract
Abstract: This article considers the opportunities and challenges of mixed methods integration within the context of conducting developmental evaluations with diverse stakeholders. The article proposes a four-part planning framework that explicitly maps the eight principles of developmental evaluation to key questions about integration: Why integrate? What will be integrated? When and how will integration occur? The framework is used to explore and compare two large-scale evaluations that employed mixed methods integration. Ultimately, the work illustrates a need to balance data collection with the momentum of moving initiatives forward, check assumptions about stakeholder co-creation, and cultivate integration literacy.
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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 | 0.256 | 0.130 |
| Meta-epidemiology (narrow) | 0.004 | 0.002 |
| Meta-epidemiology (broad) | 0.004 | 0.004 |
| Bibliometrics | 0.017 | 0.009 |
| Science and technology studies | 0.006 | 0.018 |
| Scholarly communication | 0.012 | 0.011 |
| Open science | 0.007 | 0.015 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.005 | 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; the direct Gemma label and the distilled Codex classifier agree on what is shown here.
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".