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Record W1598166529 · doi:10.3233/wor-2009-0887

Moving from full-time healing work to paid employment: Challenges and celebrations

2009· article· en· W1598166529 on OpenAlexaff
Yvonne Bergmans, Anne Carruthers, Elizabeth Ewanchuk, J.R. James, Kate Wren, Christina Yager

Bibliographic record

VenueWork · 2009
Typearticle
Languageen
FieldPsychology
TopicMental Health Treatment and Access
Canadian institutionsWorld Wildlife Fund Canada
Fundersnot available
KeywordsNarrativePsychosocialThematic analysisStigma (botany)Mental healthPsychologyNursingNarrative inquiryMental illnessWork (physics)MedicineQualitative researchPsychotherapistSociologyPsychiatryEngineering

Abstract

fetched live from OpenAlex

BACKGROUND: The experiences and barriers associated with the return to paid employment following healing from recurrent suicide attempts related to mental illness have not been addressed in the literature to date. METHOD: This paper is a collaborative case study between graduates (experts by experience) and facilitators of a psychosocial/psychoeducational group for people with recurrent suicide attempts. The journeys taken by the experts by experience are explored through thematic narrative analysis. FINDINGS/RESULTS: Issues of stigma, disclosure, accommodations, maintaining wellness and coming to re-define a sense of self were consistent themes found throughout all narratives. CONCLUSIONS: The paper identified key areas of challenge and celebration, suggesting the need for enhanced support from health care providers, workplace managers, supervisors and colleagues for successful transitions into the workplace.

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)0.007
metaresearch head score (Gemma)0.012
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0120.009
Scholarly communication0.0060.004
Open science0.0020.012
Research integrity0.0030.004
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 head0.042
GPT teacher head0.334
Teacher spread0.292 · 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
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

Citations18
Published2009
Admission routes1
Has abstractyes

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