A Narrative Review of Generic Intervention Fidelity Measures
Bibliographic record
Abstract
To increase the rigor of pediatric rehabilitation research, there is a need to evaluate the degree to which an intervention is conducted as planned (i.e., fidelity). Generic fidelity measures evaluate more than one intervention and often include nonspecific attributes of the therapy process common to both interventions. The objective of this study was to describe the characteristics of generic fidelity measures and examine how these attributes fit with pediatric rehabilitation. A review of generic fidelity measures was conducted utilizing health and education databases. Five generic fidelity measures are described and examined for their applicability to pediatric rehabilitation. The measures were used in nine studies meeting the inclusion criteria, involving people ages from 11 years to >65 years undergoing psychotherapy. From the 76 nonspecific items, 37 items were judged to be applicable to pediatric rehabilitation. Common characteristics of nonspecific attributes with pediatric rehabilitation are discussed, and investigator plans to conduct future testing.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".