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Record W1574564355 · doi:10.1177/000841740907600507

Client Insights on Knowledge use and Access in Return to Work

2009· article· en· W1574564355 on OpenAlexafffundvenueabout
Lynn Shaw, Karen Bondy, Jillian Dodman

Bibliographic record

VenueCanadian Journal of Occupational Therapy · 2009
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsHôtel-Dieu Grace HealthcareWestern University
FundersCanadian Occupational Therapy Foundation
KeywordsKnowledge managementContext (archaeology)Grounded theoryWork (physics)Sample (material)Knowledge translationResource (disambiguation)PsychologyComputer scienceSociologyQualitative research

Abstract

fetched live from OpenAlex

Background An emerging trend in work practice is to move knowledge into the hands and minds of the end-users—our clients. Purpose The purpose of this study was to investigate clients’ perspectives on their experiences, needs, and preferences for accessing and using information to make decisions in resuming work and living with disability. Methods Data from a grounded theory study with a sample of 14 participants with chronic disabilities from three regions across Canada were analyzed using the constant comparative method. Findings Barriers revealed the pervasive struggles of clients in accessing and communicating information. Clients need places, resource people as well as access to diverse formats, and material to support knowledge use. Clients engaged themselves in interpreting or acting upon knowledge through planning for contingencies, appraising the self in context, and reflecting and learning from others. Implications Findings advance the conceptual understanding of knowledge translation principles and processes needed to support clients in making decisions about return-to-work. Opportunities for policy change and for occupational therapists to support knowledge brokering and translation are elaborated.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.075
Threshold uncertainty score0.470

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.454
GPT teacher head0.551
Teacher spread0.097 · 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.

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

Citations13
Published2009
Admission routes4
Has abstractyes

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