Clinical Implications of Neurocognitive Control Deficits in Bilingual Adults With Aphasia
Bibliographic record
Abstract
The purpose of the paper is to review the literature on the neurocognitive control in bilingual aphasia and extrapolate research findings into clinical guidelines. Neurocognitive control, as well as bilingualism, are multifaceted phenomena whose complex interaction is disrupted by stroke. Bilingualism is an added factor of complexity to aphasia assessment and rehabilitation. Rehabilitation specialists are more aware of the need to understand language and nonverbal cognitive abilities, for a better treatment outcome (Ansaldo, Saidi, Ruiz, 2010; Green, 2005; Helm-Estabrooks, 2002). Consequently, assessment and management of neurocognitive skills in bilingual aphasia are gradually gaining momentum. Applying principles from language-cognitive control interactions to the rehabilitation of bilingual populations with aphasia appears to be a valuable intervention strategy for this population.
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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 | 0.004 |
| 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 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".