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Record W6889052783 · doi:10.25384/sage.c.4488533

An occupational therapy community development practice process

2019· other· en· W6889052783 on OpenAlexaboutno aff

Bibliographic record

VenueSage Journals Data · 2019
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsOccupational therapyProcess (computing)Context (archaeology)Community of practiceFocus groupWork (physics)Interview

Abstract

fetched live from OpenAlex

Background.Little research has focused on the application of the Canadian Practice Process Framework (CPPF) to occupational therapists’ work in community development (CD).Purpose.This study sought to describe Canadian occupational therapists’ CD practice processes.Method.Using interpretive description, Canadian occupational therapists engaged in CD practice participated in an initial interview and follow-up interview or focus group. Content analysis was used to analyze the data.Findings.Eight occupational therapists participated in describing a process that focused on five key elements: (1) getting to know the community, (2) getting the ball rolling/planning together, (3) building (upon) occupational opportunities, (4) revisiting the approach, and (5) striving for sustainability. These elements occurred within a practice context and frames of reference related to CD practice.Implications.Participants outlined a process that was less discrete than the CPPF and highlighted the knowledge and skills needed along with the less tangible attitudes/approaches required to engage with communities.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.015
metaresearch head score (Gemma)0.020
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Dataset · Consensus signal: none
Teacher disagreement score0.501
Threshold uncertainty score0.997

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.020
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0130.010
Scholarly communication0.0080.003
Open science0.0030.008
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0080.001

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 head0.216
GPT teacher head0.459
Teacher spread0.243 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreDataset

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".

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Citations0
Published2019
Admission routes1
Has abstractyes

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