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Record W2091384052 · doi:10.1177/000841740307000305

An Occupational Therapy Work Skills Assessment for Individuals with Head Injury

2003· article· en· W2091384052 on OpenAlexaffvenue
Irene Chappell, Julie Higham, Alison McLean

Bibliographic record

VenueCanadian Journal of Occupational Therapy · 2003
Typearticle
Languageen
FieldMedicine
TopicTraumatic Brain Injury Research
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsProtocol (science)Occupational therapyInterpersonal communicationWork (physics)PsychologyApplied psychologyMedicinePhysical therapySocial psychologyEngineering

Abstract

fetched live from OpenAlex

BACKGROUND: Comprehensive and accurate evaluation is a critical step in the return-to-work process for individuals with head injury. Research findings have been reported on the barriers for a successful return to work. Assessment frameworks have been published, but they do not include a protocol that contains each component for the assessment. METHOD: This paper describes an occupational therapy assessment protocol developed and used in the evaluation of the work skills of individuals with head injury. This protocol focuses on assessment of physical, cognitive and behavioural abilities in relation to the demands of the workplace and measures these within the framework of productivity, interpersonal skills and safety. PRACTICE IMPLICATIONS: The functional approach inherent in this protocol provides information to complement the findings of other interdisciplinary team members. This paper also explores the strengths and limitations of this protocol.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.001
Research integrity0.0010.001
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 head0.188
GPT teacher head0.467
Teacher spread0.280 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations21
Published2003
Admission routes2
Has abstractyes

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