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Record W2964361833 · doi:10.1080/0164212x.2019.1642828

The Lived Experiences of People with Substance Use Issues Seeking Care from a Rapid Access Clinic: An Occupational Perspective

2019· article· en· W2964361833 on OpenAlexaffabout
Andrea Duncan, Shan Lee, Sameer Ratti, Christy Pickles, Hricha Rakshit

Bibliographic record

VenueOccupational Therapy in Mental Health · 2019
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsSt. Michael's HospitalUniversity of Toronto
Fundersnot available
KeywordsThematic analysisPerspective (graphical)AddictionSubstance useOccupational therapyAddiction treatmentNursingLived experiencePsychologyQualitative researchMedicinePsychiatryPsychotherapistSociology

Abstract

fetched live from OpenAlex

Addiction is a crisis affecting many Canadians. Rapid Access Clinics (RAC) are a novel means of providing immediate care, but research on how they improve functional well being in people with substance use issues (PSUI), which is intended to prevent relapse, is limited. In this pilot study, interviews were conducted with clients attending an RAC for PSUI in Toronto, Canada. A deductive thematic analysis was developed from the interviews, focusing on components of the Canadian Model of Occupational Performance and Engagement. Various subthemes related to model components have been identified and discussed, which could guide future research on supporting recovery of PSUI.

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)0.001
metaresearch head score (Gemma)0.000
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 score0.082
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.209
GPT teacher head0.548
Teacher spread0.339 · 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

Citations2
Published2019
Admission routes2
Has abstractyes

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