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Record W2015495063 · doi:10.1108/17465721111134556

Complete mental health recovery: bridging mental illness with positive mental health

2011· article· en· W2015495063 on OpenAlexaff
Hélène Provencher, Corey L. M. Keyes

Bibliographic record

VenueJournal of Public Mental Health · 2011
Typearticle
Languageen
FieldHealth Professions
TopicMental Health and Patient Involvement
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsMental healthOriginalityPsychological interventionBridging (networking)Promotion (chess)Mental illnessPsychologyHealth promotionPositive psychologyMedicinePsychiatryPsychotherapistSocial psychologyPublic healthNursingComputer scienceCreativityPolitical science

Abstract

fetched live from OpenAlex

Purpose The purpose of this paper is to propose that the study, and the promotion, of recovery can be augmented by adopting the model of mental health as a complete state. Design/methodology/approach A literature review of the last two decades was undertaken and pathways to complete mental health in recovery are proposed. Findings More work is needed to further develop interventions oriented towards the promotion of positive mental health in recovery, targeting the enhancement of positive emotions towards life and a sense of fulfillment in private and social life. Positive mental health also deserves more research attention to assess the full range of recovery outcomes related to the restoration and optimization processes. A better understanding of individual and environmental factors facilitating or hindering the achievement of complete mental health in recovery is warranted as well. Originality/value Unlike previous conceptions, the model presented in the paper proposes to redefine recovery from the complete view of mental health and introduces positive mental health as an additional outcome of recovery.

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)0.009
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.164
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.001
Science and technology studies0.0070.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.002
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 head0.241
GPT teacher head0.410
Teacher spread0.169 · 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 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

Citations94
Published2011
Admission routes1
Has abstractyes

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