The role of the Neuropsychologist across the stages of recovery from acquired brain injury: a summary from the pediatric rehabilitation Neuropsychology collaborative
Bibliographic record
Abstract
Neuropsychologists working in a pediatric neurorehabilitation setting provide care for children and adolescents with acquired brain injuries (ABI) and play a vital role on the interdisciplinary treatment team. This role draws on influences from the field of clinical neuropsychology and its pediatric subspecialty, as well as rehabilitation psychology. This combination of specialties is uniquely suited for working with ABI across the continuum of recovery. ABI recovery often involves a changing picture that spans across stages of recovery (e.g., disorders of consciousness, confusional state, acute cognitive impairment), where each stage presents with distinctive characteristics that warrant a specific evidence-based approach. Assessment and intervention are used reciprocally to inform diagnostics, treatment, and academic planning, and to support patient and family adjustment. Neuropsychologists work with the interdisciplinary teams to collect and integrate data related to brain injury recovery and use this data for treatment planning and clinical decision making. These approaches must often be adapted and adjusted in real time as patients recover, demanding a dynamic expertise that is currently not supported through formal training curriculum or practice guidelines. This paper outlines the roles and responsibilities of pediatric rehabilitation neuropsychologists across the stages of ABI recovery with the goal of increasing awareness in order to continue to develop and formalize this role.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| 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; both teacher heads agree on what is shown here.
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".