To test or not to test? - A study mapping clinical practice of assessing motor function among Norwegian physiotherapists
Bibliographic record
Abstract
Research question: How is the use of, and experience with standardized tools for assessing motor functions in children and adolescents among physiotherapists in Norway? Method: A mixed method study used a questionnaire with open and closed questions. Data were analyzed using descriptive statistics and direct and summative content analysis. Results: Among 103 respondents, physiotherapists employed in specialized health care and physiotherapists without further education were the primary users of standardized tools. Standardized tools were more commonly used for younger children, with the Alberta Infant Motor Scale (AIMS) and the Movement assessment battery for Children (M-ABC) being the most frequently employed. Physiotherapists emphasized the importance of considering the child`s well-being during testing and never relied solely on standardized assessments. Conclusion: Critical thinking regarding the use of standardized measurement tools should be emphasized. Further research and professional development should consider new designs of measurement tools that consider children`s sense of mastery, while also maintaining reproducibility and other measurement properties.
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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 | 0.005 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".