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Record W4292854505

[The Global Model of Public Mental Health and Recovery Mentors].

2017· article· en· W4292854505 on OpenAlexaffabout
Jean‐François Pelletier, Émilie Auclair

Bibliographic record

VenuePubMed · 2017
Typearticle
Languageen
FieldHealth Professions
TopicHealth, psychology, and well-being
Canadian institutionsCentre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-MontréalInstitut Universitaire en Santé Mentale de Québec
Fundersnot available
KeywordsPleaMental healthCharterHuman rightsPublic relationsAgency (philosophy)Political scienceLegislationCitizenshipPromotion (chess)Health promotionPublic healthPublic administrationSociologyLawPsychologyMedicineSocial scienceNursingHealth care
DOInot available

Abstract

fetched live from OpenAlex

Objectives The aim of this paper is to revisit the Global Model of Public Mental Health (GMPMH) in light of the 4th Civic Forum. Recovery mentors of the University of Recovery chaired this public event, which was held in East-end Montreal, Canada, in 2016. The University of Recovery is a concept of co-learning among its members.Methods Being able to refer to international conventions and human rights standards is a key component of a genuine global approach that is supportive of individuals and communities in their quest for recovery and full citizenship. The GMPMH was inspired by the ecological approach in public health and health promotion programs, while adding to that approach the recovery mentors, as agents of mental health policies and legislation transformation. The GMPMH integrates recovery- and citizenship-oriented practices through the Ottawa Charter for Health Promotion of the World Health Organization. Indeed, here the GMPMH is said to be global in that the supranational and individual levels reinforce each other, taking turns with a) a set of legal rules and international conventions on human rights, including those of disabled persons, and b) the active involvement and agency of recovery mentors who can evoke these rules and conventions as part of a plea for the recognition of their personal and collective capacity for change; they acted as tracers of recovery trajectories during the Civic Forum. The GMPMH was first published in 2009, and revisited in 2013. While this latter revision was based on the 3rd Civic Forum, in this paper we use the same approach to revisit the GMPMH as underpinned by the findings and recommendations of the 4th Civic Forum, which discussed questions related to work and employment.Results Updating the GMPMH in light of the Civic Forum underlines the need for a more inclusive type of governance regarding policy and systems transformation. Local communities and persons in recovery can reach each other to promote change and capacity building, for instance through quality assessment, and evaluation of human rights' level of respect in healthcare facilities and more broadly. People with mental health challenges ought to be "included in the community" - as this is a right, not a reward (UN Convention on the Rights of Persons with Disabilities, art. 19). This is achievable if the community is informed and welcoming, for instance in getting involved with a Civic Forum and its organizing committee. The degree to which a transformational agenda is participatory is revealed as a predictor of the degree to which the broader community can be reflexive about its own inclusiveness for a genuinely global approach of public mental health, and with a cascading emulation effect.Conclusion Transition from social marginalization to full citizenship represents a daunting challenge in public mental healthcare. Creating access to the valued roles which individuals will be able to occupy in community and workplace settings requires capacity building and inter-sectorial synchronicity, as suggested by recovery mentors who can act as tracers to reveal obstacles and gateways in the recovery journey. Public intervention and debate are required to promote and monitor the bond of citizenship that connects people to their communities, and the quality of this bond needs to be included in the scope of public mental health for continuity and equity of access.

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)0.016
metaresearch head score (Gemma)0.014
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: Other · Consensus signal: Other
Teacher disagreement score0.016
Threshold uncertainty score0.084

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0160.014
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0100.039
Scholarly communication0.0150.015
Open science0.0030.016
Research integrity0.0100.010
Insufficient payload (model declined to judge)0.0120.003

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 head0.146
GPT teacher head0.433
Teacher spread0.287 · 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
GenreOther

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".

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Citations3
Published2017
Admission routes2
Has abstractyes

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