Thinking Beyond Measurement, Description and Judgement: Fourth Generation Evaluation in Family-Centered Pediatric Healthcare Organizations
Bibliographic record
Abstract
Background: Although pediatric healthcare organizations have widely implemented the philosophy of family-centered care (FCC), evaluators and health professionals have not explored how to preserve the philosophy of FCC in evaluation processes. Purpose: To illustrate how fourth generation evaluation, in theory, could facilitate collaboration between evaluators and families and uphold the philosophy of FCC in evaluation. Exploration focuses on describing the ways in which fourth generation evaluation is consistent with FCC and outlining a strategy for implementing it within pediatric healthcare organizations. Discussion: Current evaluation practices used in healthcare organizations reflect what some describe as the first three generations of evaluation: measurement-, descriptive-, and judgment-oriented evaluation. While these generations encourage evaluators and health professionals to use systematic and rigorous approaches and techniques, they negate opportunities to explore issues that may surface in more flexible evaluation processes and do little to promote FCC in evaluation. Fourth generation evaluation is based on the constructivist paradigm, and its hermeneutic dialectic process moves beyond these generations, as well as the problems associated with them, to reflect the FCC notions of family participation, partnership, collaboration, respect, and joint decision-making. Conclusion: The collaborative and dialogue-oriented environment of pediatric healthcare organizations provides an ideal context for fourth generation evaluation. Although this evaluation approach is consistent with the philosophy of FCC, more research is required to understand the strengths and limitations of using it in these organizations.
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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 | 0.368 | 0.400 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.006 | 0.003 |
| Science and technology studies | 0.009 | 0.037 |
| Scholarly communication | 0.015 | 0.018 |
| Open science | 0.003 | 0.014 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.002 | 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".