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Record W3015963168 · doi:10.1176/appi.ps.201800498

Beyond Employment: A Broader Vision Linking Activity and Participation to Health, Well-Being, and Recovery

2020· article· en· W3015963168 on OpenAlexaff
Terry Krupa, Sandra Moll, Ellie Fossey

Bibliographic record

VenuePsychiatric Services · 2020
Typearticle
Languageen
FieldHealth Professions
TopicMental Health and Patient Involvement
Canadian institutionsQueen's University
Fundersnot available
KeywordsMental healthSocial justiceMental illnessEconomic JusticePsychologyPublic relationsSociologyPolitical scienceCriminologyPsychotherapist

Abstract

fetched live from OpenAlex

Employment is a well-recognized and important indicator of recovery from mental illness. However, a broad range of personally and socially meaningful activity and participation opportunities, beyond paid employment, can be valuable for those in recovery. Facilitating access to these opportunities necessitates pivoting practice toward a broader understanding of activity and participation experiences associated with recovery, health, and well-being and further developing evidence-informed practices. Moreover, there is a need for advocacy to advance engagement in a broad range of activity and participation opportunities that is grounded in the principles of social justice.

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)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.015
Threshold uncertainty score0.082

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0150.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.002
Science and technology studies0.0050.027
Scholarly communication0.0130.015
Open science0.0020.015
Research integrity0.0080.017
Insufficient payload (model declined to judge)0.0060.001

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 head0.071
GPT teacher head0.408
Teacher spread0.337 · 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 designNot applicable
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

Citations9
Published2020
Admission routes1
Has abstractyes

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