Using Model Hands for Learning Orthotic Fabrication
Bibliographic record
Abstract
Trainees could benefit from practicing orthotic fabrication on simulated hands with joint deformities. As a first step toward such training, we explored the use of a nonpathological model hand. Twenty-one participants were randomized into one of two groups that practiced using a person's right hand or a model right hand. One week later, all participants returned for a transfer test in which they made one orthosis on a person's left hand. All participants' performance and orthoses were evaluated using a validated checklist and a global rating scale (GRS). Fabrication time for each orthosis also was recorded. The GRS score and fabrication time changed significantly over the course of practice. Trainees who practiced with the model hand made better orthoses during practice and on the transfer test, as measured with the checklist's final product subscore. Instructional and contextual factors that may affect trainees' performance and learning are discussed.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".