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Personal Recovery in Serious Mental Illness: Making Sense of the Concept

2017· article· en· W2980403826 on OpenAlexaff
Madeline Lim, Gary Remington, Jimmy Lee

Bibliographic record

VenueAnnals of the Academy of Medicine Singapore · 2017
Typearticle
Languageen
FieldHealth Professions
TopicMental Health and Patient Involvement
Canadian institutionsUniversity of TorontoCentre for Addiction and Mental Health
FundersNational Healthcare Group
KeywordsMedicineMental healthMental illnessPsychiatryOutcome (game theory)

Abstract

fetched live from OpenAlex

Traditionally, clinicians and healthcare users alike use the term "recovery" to imply a return to a premorbid state. This form of clinical recovery is objective, measureable and is a clear health outcome. In the past decade, an alternative to clinical recovery, also known as personal recovery, has gained traction in mental health and has impacted numerous mental health systems. Originally, personal recovery was conceptualised as an individually unique ongoing process for individuals with serious mental illness that emphasises on growth and potential for recovery, but it has also been proposed to be a clinical outcome for mental health professionals. In this commentary, we discuss the differences in the 2 models of recovery and attempt to illustrate the concepts behind personal recovery so as to clarify its usage in people with serious mental illnesses.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.111
Threshold uncertainty score0.600

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 studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.348
GPT teacher head0.501
Teacher spread0.153 · 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

Citations23
Published2017
Admission routes1
Has abstractyes

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