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Record W2137758141 · doi:10.1177/000841740907600406

Evaluating Work Readiness following Acquired Brain Injury: Building a Shared Understanding

2009· article· en· W2137758141 on OpenAlexafffundvenue
Mary Stergiou‐Kita, Susan Rappolt, Bonnie Kirsh, Lynn Shaw

Bibliographic record

VenueCanadian Journal of Occupational Therapy · 2009
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsToronto Rehabilitation InstituteUniversity of Toronto
FundersCanadian Occupational Therapy FoundationUniversity of TorontoOntario Society of Occupational Therapists
KeywordsFormative assessmentWork (physics)Occupational therapyRehabilitationAcquired brain injuryPsychologyGrounded theoryApplied psychologyOccupational safety and healthVocational rehabilitationVocational educationMedical educationKnowledge managementQualitative researchMedicineComputer sciencePedagogyEngineeringSociology

Abstract

fetched live from OpenAlex

BACKGROUND: Despite occupational therapists' role in work-related evaluations, there are no guidelines for evaluating clients' work readiness. PURPOSE: This study explored how occupational therapists evaluate work readiness following acquired brain injury in order to develop an integrated model of the factors, processes, stakeholders, and contextual elements relevant to this evaluation. METHODS: Ten occupational therapists with expertise in vocational and brain injury rehabilitation were interviewed. Data were analyzed using grounded theory methods to develop the work readiness evaluation model. FINDINGS: This model describes five processes formative to therapists' evaluation: (1) drawing upon diverse sources of information and perspectives; (2) assessing occupational capacity; (3) contextualizing occupational potential; (4) building a shared understanding of work readiness among stakeholders, including, clients, employers, insurers, and rehabilitation teams; and (5) transforming the work readiness question. IMPLICATIONS: The model highlights the importance of building a shared understanding amongst stakeholders and provides a provisional framework to guide practice.

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)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.206
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.583
GPT teacher head0.586
Teacher spread0.004 · 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

Citations26
Published2009
Admission routes3
Has abstractyes

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