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Record W4292744227

[Highlighting the Lived Experience of Families: Family Peer Support Services Initiative].

2017· article· en· W4292744227 on OpenAlexaffabout
Catherine Briand, Rose-Anne St-Paul, Francine Dubé

Bibliographic record

VenuePubMed · 2017
Typearticle
Languageen
FieldHealth Professions
TopicMental Health and Patient Involvement
Canadian institutionsFrancophone University AssociationInstitut Universitaire en Santé Mentale de Québec
Fundersnot available
KeywordsPeer supportMental healthFamily supportMental illnessSocial supportCommissionPsychologyNursingPublic relationsMedicinePolitical sciencePsychiatrySocial psychology
DOInot available

Abstract

fetched live from OpenAlex

To support personal recovery, any person with a mental illness should have access to a range of practices recommended by scientific evidence. The peer support are some of the services recommended by the Mental Health Commission of Canada for the reduction of the economic and social burden of mental illness. If peer support from families is poorly documented, peer support and mutual aid from users have been the subject of several studies. Based on two studies in which she participated, addressing the needs of families, and its experience as a non-profit support organization for families, the Quebec Society of Schizophrenia (QSS) has reflected on the family support problem upon entry in the health system as well as the involvement of families as peer support. This article presents the implementation pilot project of Family Peer Support services initiative, fruit of collaboration between QSS and University Institute of Mental Health in Montreal and the issues and recommendations of the first year of implementation.

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)0.003
metaresearch head score (Gemma)0.007
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: none
Teacher disagreement score0.086
Threshold uncertainty score0.171

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0110.003
Scholarly communication0.0040.004
Open science0.0020.006
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0140.001

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 head0.374
GPT teacher head0.429
Teacher spread0.055 · 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

Citations1
Published2017
Admission routes2
Has abstractyes

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