Parasports for cerebral palsy: Thinking and ‘prescribing’ beyond the Paralympics
Bibliographic record
Abstract
The landscape of care for individuals with cerebral palsy (CP) has evolved far beyond 'fixing' impairments toward a life course, biopsychosocial approach aimed at enhanced functioning. Parasports remain an underutilized tool to encourage and facilitate physical activity achievement while filling gaps in traditional medical and therapeutic thinking about this new way of delivering services. This narrative review synthesizes evidence spanning multiple sports and gross motor function levels, where parasports demonstrate measurable benefits across all domains of the International Classification of Functioning, Disability and Health. Given the rich array of parasport options, it remains challenging to determine appropriate recommendations across the spectrum of function seen in individuals with CP and related disabilities. We outline sport eligibility based on gross motor function and available adaptations. Rather than viewing parasport as an option for 'athletic' children, evidence supports treating it as an essential element of comprehensive care-uniquely combining therapeutic physical activity benefits with social inclusion, identity development, and community integration.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".