Bridging the gap between theory and practice: Dynamic systems theory as a framework for understanding and promoting recovery of function in children and youth with acquired brain injuries
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
A theoretical framework can help physiotherapists understand and promote recovery of function in children and youth with acquired brain injuries (ABI). Physiotherapy interventions for this population have traditionally been based in hierarchical-maturational theories of motor development emphasizing the role of the central nervous system (CNS) in controlling motor behaviour. In contrast, Dynamic Systems Theory (DST) views movement as resulting from the interaction of many subsystems within the individual, features of the functional task to be accomplished, and the environmental context in which the movement takes place. DST is now a predominant theoretical framework in pediatric physiotherapy. The purpose of this article is to describe how DST can be used to understand and promote recovery of function after pediatric ABI. A DST-based approach for children and youth with ABI does not treat the impaired CNS in isolation but rather emphasizes the role of all subsystems, including the family and the environment, in influencing recovery. The emphasis is on exploration, problem solving, and practice of functional tasks. A case scenario provides practical recommendations for the use of DST to inform physiotherapy interventions and clinical decision making in the acute phase of recovery from ABI. Future research is required to evaluate the effectiveness of interventions based in this theoretical framework.
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 | 0.007 | 0.003 |
| 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 | 0.001 |
| 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 it