A critical review of powered mobility assessment and training for children
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
PURPOSE: Assessment and training of young children using powered mobility tends to be based on expert opinion although research in this area has recently been completed. This review critiques available research and discusses the studies in relation to theory and expert opinion. METHOD: A literature review was completed to identify research regarding powered mobility training for children with developmental disabilities. Two recent qualitative studies were identified and their models and assessment tools were compared and discussed with recommendations for clinical practice and research. RESULTS: The focus of the two studies is on a continuum of learning, the reciprocal relationship of trainer and trainee, and impact of the social and attitudinal environment on powered mobility skill development. The assessment tools and training protocols are backed up by motor learning principles and expert opinion. Further research is required to incorporate the tools into clinical practice and to examine additional psychometric properties. CONCLUSIONS: Rather than focusing on readiness skills or pass/fail tests, clinicians should explore early mobility options for clients at the beginning of the continuum of learning, reflect on how they relate to and impact on their clients' learning, and set up the environment to facilitate independent learning and exploration.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 it