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Record W1963873642 · doi:10.3109/02699052.2011.624570

Independence in managing one's finances after traumatic brain injury

2011· article· en· W1963873642 on OpenAlexafffund
Carolina Bottari, Nadia Gosselin, Melanie Guillemette, Julie Lamoureux, Alain Ptito

Bibliographic record

VenueBrain Injury · 2011
Typearticle
Languageen
FieldMedicine
TopicTraumatic Brain Injury Research
Canadian institutionsMontreal Neurological Institute and HospitalMcGill UniversityMcGill University Health CentreCentre for Interdisciplinary Research in RehabilitationUniversité de Montréal
FundersCanadian Institutes of Health Research
KeywordsTraumatic brain injuryTask (project management)Activities of daily livingPsychologyIndependence (probability theory)Financial independencePhysical medicine and rehabilitationMedicineFinancePsychiatry

Abstract

fetched live from OpenAlex

PRIMARY OBJECTIVE: To establish whether the budgeting task of the Instrumental Activities of Daily Living (IADL) Profile discriminates individuals with a traumatic brain injury (TBI) from healthy controls and to identify the nature of the observed difficulties. METHOD: This study tested 27 adults with moderate or severe TBI and 27 controls matched for age, sex and education on the budgeting task of the IADL Profile. The budgeting task is a complex real-world problem involving the preparation of a yearly budget for an individual living on a fixed income with the goal of saving money to purchase a car. MAIN RESULTS: The results showed that TBI subjects, the majority of whom had documented frontal lesions and/or diffuse axonal injury based on CT scan reports, were more likely than control subjects to experience difficulties on all task-related operations (planning, carrying out and verifying attainment of goal), with planning being particularly affected. These deficits were shown to impact on financial abilities, an issue of particular concern for TBI individuals reporting full responsibility of their finances. CONCLUSIONS: The budgeting task of the IADL Profile discriminates TBI subjects from controls. Planning was shown to be the most significant difficulty underlying reduced independence in the task.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.727
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.097
GPT teacher head0.348
Teacher spread0.251 · 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 designObservational
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

Citations41
Published2011
Admission routes2
Has abstractyes

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