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Record W72888

Effects of profession and facility type on research utilization by rehabilitation professionals.

2004· article· en· W72888 on OpenAlexaffabout
Kerrie Pain, Joyce Magill‐Evans, Paul Hagler, Sharon Warren

Bibliographic record

VenuePubMed · 2004
Typearticle
Languageen
FieldHealth Professions
TopicHealth Sciences Research and Education
Canadian institutionsAlberta Health Services
Fundersnot available
KeywordsAffect (linguistics)InterviewMedical educationRehabilitationPsychologyOccupational therapyBest practiceMedicineNursingPhysical therapy
DOInot available

Abstract

fetched live from OpenAlex

Information about the use of research by rehabilitation professionals to make clinical decisions in everyday practice is limited. This study compared perceived research use and knowledge sources across professions, practice situations, and work environments. Participants were 165 randomly selected Canadian occupational therapists, physical therapists, and speech-language pathologists. Self-report ratings during an interview, an interviewer rating, and questionnaire scores (Edmonton Research Orientation Survey, General Use of Research, Knowledge Acquisition Survey) were compared. Speech-language pathologists had the most education and the highest research use ratings. Research use was highest during program planning. Programs to encourage research use must consider the research available to guide practice and therapists' education level. Facility size and location (rural, urban) do not affect perceived research use.

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)0.022
metaresearch head score (Gemma)0.116
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Methods · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.978
Threshold uncertainty score0.115

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0220.116
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.239
GPT teacher head0.537
Teacher spread0.298 · 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.

Study designObservational
DomainMethods
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

Citations52
Published2004
Admission routes2
Has abstractyes

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