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Record W2987371590 · doi:10.1177/0308022619879361

Professional practice behaviour: Identification and validation of key indicators

2019· article· en· W2987371590 on OpenAlexaff
Diane MacKenzie, Brenda Merritt, Rebecca Holstead, Gordon E. Sarty

Bibliographic record

VenueBritish Journal of Occupational Therapy · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicDelphi Technique in Research
Canadian institutionsUniversity of SaskatchewanNova Scotia Health AuthorityDalhousie University
Fundersnot available
KeywordsDelphi methodPsychologyRubricRepresentativeness heuristicIdentification (biology)Medical educationNormativeRelevance (law)Professional developmentMedicineSocial psychologyPedagogyPolitical science

Abstract

fetched live from OpenAlex

Introduction Professional behaviour is regarded as an important competency for occupational therapy practice, yet little guidance exists for indicators underpinning development or remediation in the educational or practice settings. This study sought to confirm the content validity of observable professional behaviour indicators from an existing evaluation framework for representativeness and relevance for occupational therapy practice. Methods A modified Delphi approach was conducted with expert panellists ( n = 30) consisting of regulators, administrators, faculty members, practitioners, and students for professional behaviour indicator consensus, together with a cross-sectional survey of practitioners ( n = 119). Fleiss’ κ and χ2 contingency tables were completed for agreement across panellists, and between panellist and survey groups. Cross-case qualitative analyses identified facilitators and barriers for professional behaviour practice. Results Content validity of 17 professional behaviour indicators was achieved, with >85% agreement from the expert panellists and the cross-sectional survey group. Main professional behaviour reporting issues in practice included fear of reprisal, lack of formal policies, and an unsupportive culture. Support from others, documented workplace policies, and self-regulation/duty to monitor were the critical facilitators for supporting professional behaviour in practice. Conclusion The professional behaviour indicators in this study offer observable behaviours from which assessment rubrics or tools may be developed. Further study is warranted.

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)0.004
metaresearch head score (Gemma)0.001
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 score0.205
Threshold uncertainty score0.340

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.097
GPT teacher head0.480
Teacher spread0.383 · 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

Citations3
Published2019
Admission routes1
Has abstractyes

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