The Pirate Group Intervention Protocol: Description and a Case Report of a Modified Constraint‐induced Movement Therapy Combined with Bimanual Training for Young Children with Unilateral Spastic Cerebral Palsy
Bibliographic record
Abstract
The purpose of this article was to describe a child-friendly modified constraint-induced movement therapy protocol that is combined with goal-directed task-specific bimanual training (mCIMT-BiT). This detailed description elucidates the approach and supports various research reports. This protocol is used in a Pirate play group setting and aims to extend bimanual skills in play and self-care activities for children with cerebral palsy and unilateral spastic paresis of the upper limb. To illustrate the content and course of treatment and its effect, a case report of a two-year-old boy is presented. After the eight-week mCIMT-BiT intervention, the child improved the capacity of his affected arm and hand in both quantitative and qualitative terms and his bimanual performance in daily life as assessed by the Assisting Hand Assessment, ABILHAND-Kids, Video Observations Aarts and Aarts Module Determine Developmental Disregard, Canadian Occupational Performance Measure and Goal Attainment Scaling. It is argued that improvement of affected upper-limb capacity in a test situation may be achieved and retained relatively easily, but it may take a lot more training to stabilize the results and automate motor control of the upper limb. Future studies with groups of children should elaborate on these intensity and generalization issues.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.022 | 0.003 |
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".