Verbal Assistance within the Context of an IADL Evaluation
Bibliographic record
Abstract
Objective: The aim of this study was to identify the types of verbal assistance that facilitate task progression in individuals with cognitive deficits secondary to traumatic brain injury (TBI). Methods: Two individuals with moderate-to-severe TBI needing verbal assistance to complete the “Obtaining Information task” of the Instrumental Activities of Daily Living Profile were selected. A qualitative conversational analysis was conducted on the complete verbatim of the interactions that occurred between the evaluator and each participant while planning how they would find the information. The evaluator provided the least possible assistance to observe the maximal levels of independence of each individual. Results and Outcomes: Six types of verbal assistance, offered in response to each participant’s specific problems, facilitated goal formulation for finding information: restarting, scaffolding, cueing, action priming, offer of a strategy, and explicit advice. Explicit advice that involved the therapist thinking for the person was only provided after numerous other types of more implicit assistance had failed to facilitate task progression. Conclusions: Therapists can facilitate task-related goal formulation and attainment in individuals with cognitive limitations using several types of well-adjusted verbal assistance.
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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 | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".