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Peer support relationships: an unexplored interpersonal process in mental health

2006· article· en· W1901060801 on OpenAlexaff
Robin Coatsworth‐Puspoky, Cheryl Forchuk, Catherine Ward‐Griffin

Bibliographic record

VenueJournal of Psychiatric and Mental Health Nursing · 2006
Typearticle
Languageen
FieldHealth Professions
TopicMental Health and Patient Involvement
Canadian institutionsWestern UniversitySt Joseph's Health Care
Fundersnot available
KeywordsMental healthPsychologyProcess (computing)Interpersonal relationshipInterpersonal communicationPeer supportPeer reviewSocial supportSocial psychologyPsychotherapistPsychiatryComputer sciencePolitical science

Abstract

fetched live from OpenAlex

Consumer-survivors (C/Ss) identify peer support as a resource that facilitates their recovery. However, little is known about the factors that influence or how the peer support relationship (PSR) develops/deteriorates. The purpose of the study was to explore and describe the PSR within the subculture of mental health. Using an ethnonursing method, the study focused on informants from two C/S organizations who received peer support (n = 14). Findings revealed that the PSRs may develop or deteriorate through three, overlapping phases. Contextual factors that influenced the development/deterioration of the PSR are discussed. Understanding the processes and factors that contribute to the development/deterioration of PSRs will enable clinicians and C/Ss to assess and promote the development of healthy, supportive PSRs in mental health.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.398
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0020.000
Scholarly communication0.0000.001
Open science0.0000.000
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 head0.138
GPT teacher head0.464
Teacher spread0.326 · 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 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

Citations101
Published2006
Admission routes1
Has abstractyes

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