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Record W2036021100 · doi:10.2182/cjot.06.014

How Consumers of Mental Health Services Come to Understand their Potential for Work: <i>Doing</i> and <i>Becoming</i> Revisited

2006· article· en· W2036021100 on OpenAlexaffvenue
Rebecca Gewurtz, Bonnie Kirsh

Bibliographic record

VenueCanadian Journal of Occupational Therapy · 2006
Typearticle
Languageen
FieldHealth Professions
TopicOccupational Therapy Practice and Research
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsRealmWork (physics)Futures contractGrounded theoryOccupational therapyPerspective (graphical)Mental healthProcess (computing)Public relationsPsychologySociologyQualitative researchBusinessPsychotherapistSocial scienceComputer sciencePolitical scienceEngineeringPsychiatry

Abstract

fetched live from OpenAlex

BACKGROUND: Doing and becoming are fundamental constructs in occupational therapy. However, we have little understanding of how these concepts apply to the way that individuals develop ideas about their future in the realm of work. PURPOSE: This paper examines the doing-becoming interaction and applies it to our understanding of work potential among consumers of community mental health services. METHODS: Using a grounded theory approach, 10 consumers were interviewed about their experiences with paid and unpaid work. Data were analyzed inductively according to the constant comparative approach. RESULTS: The findings reveal that doing and becoming are essential to the process of how consumers develop ideas about their potential for work. Through doing work, consumers gain insight into their capacity for future work participation and become persons with possible work futures. PRACTICE IMPLICATIONS: An occupational perspective on career development challenges occupational therapists to create opportunities for doing and becoming among consumers.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.504
Threshold uncertainty score0.610

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
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 head0.161
GPT teacher head0.444
Teacher spread0.284 · 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

Citations46
Published2006
Admission routes2
Has abstractyes

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