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Record W1972074400 · doi:10.2182/cjot.05.0012

Listening for Recovery: The Vocational Success of People Living with Mental Illness

2005· article· en· W1972074400 on OpenAlexaffvenue
Harriet Woodside, Lori Schell, Jennifer Allison-Hedges

Bibliographic record

VenueCanadian Journal of Occupational Therapy · 2005
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsSurgical Specialties (Canada)
Fundersnot available
KeywordsActive listeningMental illnessVocational educationPsychologyMental healthAudiologyPsychiatryMedicinePsychotherapistPedagogy

Abstract

fetched live from OpenAlex

BACKGROUND: Mental health occupational therapists work with some individuals who want employment but who are not successful at finding or keeping a job. PURPOSE: The purpose of this qualitative study was to suggest factors contributing to vocational success. METHOD: The investigators interviewed 8 participants who were recovering from psychosis. The interview texts were coded and analyzed for emerging themes. RESULTS: Three themes emerged that describe how the participants achieved vocational success: self-assessing their mental health regularly, actively working to maintain and improve their mental health, and striving to feel connected to others at work. The results are consistent with previous studies that found that a positive fit between a worker and the workplace is linked to the worker feeling connected to and valued by the workplace. PRACTICE IMPLICATIONS: This study suggests that supporting the ways individuals assess and promote their own mental health and recovery will contribute to their success at work. Occupational therapists are urged to help people find workplaces where they feel encouraged and comfortable as this appears to be an important factor in vocational success.

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)0.002
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 score0.142
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
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 head0.162
GPT teacher head0.471
Teacher spread0.309 · 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

Citations50
Published2005
Admission routes2
Has abstractyes

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