MétaCan
Menu
Back to cohort
Record W7000436907

Functional Cognitive Activities for Adults with Traumatic Brain Injury: Pilot Case Studies

2018· article· en· W7000436907 on OpenAlexaboutno aff

Bibliographic record

VenueDominican Scholar (Dominican University of California) · 2018
Typearticle
Languageen
FieldMedicine
TopicTraumatic Brain Injury Research
Canadian institutionsnot available
Fundersnot available
KeywordsGeneralizability theoryCognitionGeneralizationActivities of daily livingCognitive skillIntervention (counseling)Cognitive trainingAcquired brain injuryCognitive Assessment System
DOInot available

Abstract

fetched live from OpenAlex

The purpose of these pilot case studies were to investigate the effectiveness of the Functional Cognitive Activities for Adults with Brain Injury: A Sequential Approach (FCA) in generalizing functional cognitive skills across meaningful occupations for adults with traumatic brain injury (TBI). This study was a pretest-posttest design consisted of two participants with TBI.\nBoth participants attended 14 out of the 16 intervention sessions, twice-a-week for eight-weeks. Pretest-posttest measurements, including the Canadian Occupational Performance Measure (COPM), Kohlman Evaluation of Living Skills, and Goal Attainment Scale (GAS), were used to measure changes in occupational performance. Additionally, a four-month follow-up phone interview using the COPM and GAS assessments explored the generalization of functional cognitive skills. Pretest-posttest results from the COPM demonstrated improvements, while the GAS results varied in occupational performance between participants. The four-month follow-up results demonstrated generalization in functional cognitive skills. The findings from this study provide preliminary evidence supporting the effectiveness of the FCA approach in improving functional cognitive skills and generalizability of skills to novel activities in individuals with TBI.

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.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.631
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0010.003
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.122
GPT teacher head0.363
Teacher spread0.241 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designRandomized trial
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2018
Admission routes1
Has abstractyes

Explore more

Same venueDominican Scholar (Dominican University of California)Same topicTraumatic Brain Injury ResearchFrench-language works237,207