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Record W2572832492 · doi:10.1177/1539449216688201

Clarifying the Construct of Occupational Engagement for Occupational Therapy Practice

2017· article· en· W2572832492 on OpenAlexaffabout
Jennifer Kennedy, Jane A. Davis

Bibliographic record

VenueOTJR Occupational Therapy Journal of Research · 2017
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsUniversity of TorontoMcMaster University
Fundersnot available
KeywordsConstruct (python library)Occupational therapyConceptualizationPsychologyQualitative researchApplied psychologyComputer scienceSociology

Abstract

fetched live from OpenAlex

Occupational engagement (OE) has been presented as a core construct in occupational therapy; however, its broad conceptualization and confounding definitions are problematic. Clarifying the construct of OE would help occupational therapists to explicate the nature of their practice. The purpose of this study was to explore occupational therapists' perspectives of the construct of OE. Qualitative descriptive methodology was used to collect data using semistructured interviews with nine practicing occupational therapists in the Greater Toronto Area. Qualitative content analysis, using an inductive approach, was employed to uncover emerging categories. Participants spoke about transitioning from therapeutic engagement to OE with a client by following a client's path of choice. The essential elements and influencers of OE were highlighted, and the relationship between OE and occupational performance was discussed. The findings provide an initial understanding of essential elements necessary to enable clients to initiate engagement in therapy and then, subsequently, in occupations of their choice.

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)0.031
metaresearch head score (Gemma)0.013
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMetaresearch
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.410
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0310.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0070.001
Scholarly communication0.0000.002
Open science0.0020.000
Research integrity0.0000.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.685
GPT teacher head0.669
Teacher spread0.016 · 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; both teacher heads agree on what is shown here.

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

Citations38
Published2017
Admission routes2
Has abstractyes

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