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Record W2325169429 · doi:10.15453/2168-6408.1189

Knowledge Translation Activities in Occupational Therapy Organizations: The Canadian Landscape

2016· article· en· W2325169429 on OpenAlex
Catherine Donnelly, Heidi Cramm, Amanda Mofina, Marie‐Ève Lamontagne, Shalini Lal, Heather Colquhoun

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueThe Open Journal of Occupational Therapy · 2016
Typearticle
Languageen
FieldHealth Professions
TopicHealth Sciences Research and Education
Canadian institutionsUniversity of TorontoUniversité LavalMcGill UniversityQueen's University
Fundersnot available
KeywordsOccupational therapyKnowledge translationMedicinePublic relationsPolitical scienceKnowledge managementPhysical therapy

Abstract

fetched live from OpenAlex

Despite acknowledging the importance of knowledge translation (KT), the occupational therapy profession has demonstrated only emerging KT activity. Organizations are seen as playing an important role in supporting KT. To date, there have been no known attempts to explore KT activities conducted by occupational therapy organizations in Canada. The purpose of this study was to identify and describe KT activities occurring in Canadian occupational therapy organizations. An environmental scan was used to identify KT activities. The websites of occupational therapy national and provincial associations and/or regulatory bodies and the educational programs were searched. A Knowledge Mobilization Matrix (KMM) website was applied to each organizational website. The total KMM scores were highest for universities and lowest for regulatory organizations. The type and nature of the KT activities varied according to the type of organization. Canadian occupational therapy leadership organizations play an important role in supporting KT.

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.

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)0.005
metaresearch head score (Gemma)0.000
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 score0.130
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.458
GPT teacher head0.553
Teacher spread0.094 · 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