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Record W2493446171 · doi:10.5014/ajot.2016.018259

Occupational Therapy Education Research: Results of a National Survey

2016· article· en· W2493446171 on OpenAlexaffabout
Aliki Thomas, Ann Bossers, Michael Lee, Rosemary Lysaght

Bibliographic record

VenueAmerican Journal of Occupational Therapy · 2016
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsWestern UniversityQueen's UniversityUniversity of British ColumbiaMcGill UniversityCentre for Interdisciplinary Research in Rehabilitation
Fundersnot available
KeywordsScholarshipOccupational therapyThematic analysisDescriptive statisticsMedical educationScope (computer science)Focus groupPsychologyPerceptionQualitative researchMedicinePolitical scienceSociologySocial sciencePhysical therapy

Abstract

fetched live from OpenAlex

OBJECTIVE: Despite a strong tradition of education scholarship in occupational therapy, no systematic evaluation of the amount and nature of research in this arena, or its associated challenges, has been conducted. This study examined the scope and range of education-focused research conducted in Canada and identified perceived supports and barriers for this area of inquiry. METHOD: An online survey was sent to faculty of all 14 Canadian occupational therapy programs. Descriptive statistics were used to summarize areas of study focus, and qualitative thematic analysis captured respondents' perceptions of personal and environmental factors influencing their engagement in education research. RESULTS: Respondents (n = 47) reported engagement in education scholarship spanning more than 20 focus areas, often with limited resources. CONCLUSION: Strategies are proposed to promote the viability of education research in occupational therapy and to improve resources and other supports for this type of research.

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)0.015
metaresearch head score (Gemma)0.005
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient 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 score0.324
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0150.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.548
GPT teacher head0.613
Teacher spread0.066 · 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

Citations9
Published2016
Admission routes2
Has abstractyes

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