MétaCan
Menu
Back to cohort
Record W2288512135 · doi:10.1177/0008417416631773

Preparing for community development practice: A Delphi study of Canadian occupational therapists

2016· article· en· W2288512135 on OpenAlexvenueaboutno aff
Leanne Leclair, Morgan L. Ashcroft, Tamara L. Canning, Marla A. Lisowski

Bibliographic record

VenueCanadian Journal of Occupational Therapy · 2016
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsnot available
Fundersnot available
KeywordsOccupational therapyDelphi methodFeelingMedical educationDelphiFocus groupCommunity practiceScholarshipMedicinePsychologyNursingPhysical therapySocial psychology

Abstract

fetched live from OpenAlex

BACKGROUND: Increasingly, community development is recognized as an important process for occupational therapy practice. However, occupational therapists working in community development report feeling unprepared. PURPOSE: This study aimed to identify the knowledge, skills, and experiences that occupational therapists need for practice in community development. METHOD: Using the Delphi technique, the researchers developed statements from the Round 1 (n = 8) responses of occupational therapists involved in community development practice or scholarship. Rounds 2 (n = 14) and 3 (n = 12) sought to establish consensus among the occupational therapists on the areas of focus. FINDINGS: Participants rated the importance of 64 statements grouped into 11 domains. After three rounds, researchers eliminated six statements by analyzing the median, interquartile range, and percentage of agreement. Participants reached consensus on 58 statements. IMPLICATIONS: Many of the competencies identified were relevant to all areas of practice, while others were specific to community development, suggesting a need for specialized education and training in this area. The results provide information that can be used to enhance the preparation of occupational therapists for practice in community development.

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)0.005
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.533
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0020.000
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 head0.448
GPT teacher head0.544
Teacher spread0.096 · 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

Citations12
Published2016
Admission routes2
Has abstractyes

Explore more

Same venueCanadian Journal of Occupational TherapySame topicOccupational Therapy Practice and ResearchFrench-language works237,207