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Record W1994054977 · doi:10.3109/09638237.2013.841866

Meanings of well-being from the perspectives of youth recently diagnosed with psychosis

2014· article· en· W1994054977 on OpenAlexaff
Shalini Lal, Michael Ungar, Ashok Malla, Jim Frankish, Melinda Suto

Bibliographic record

VenueJournal of Mental Health · 2014
Typearticle
Languageen
FieldMedicine
TopicSchizophrenia research and treatment
Canadian institutionsDalhousie UniversityUniversity of British ColumbiaDouglas Mental Health University InstituteMcGill University
Fundersnot available
KeywordsPhenomenonMental healthPsychosisPsychologyWell-beingLived experiencePsychiatrySociologyPsychotherapistEpistemology

Abstract

fetched live from OpenAlex

BACKGROUND: The phenomenon of well-being has attracted a surge of attention in mental health policy, clinical practice and research internationally. Yet, the definitions of well-being remain elusive, and there is limited understanding on its meanings from the perspectives of youth mental health service users. OBJECTIVE: This study explored the meanings of well-being from the perspectives of youth mental health service users diagnosed with psychosis in the past 3 years. METHODS: Using a qualitative approach, we conducted semi-structured interviews and participant-photography elicited focus groups with 17 youth recruited from an early intervention program for psychoses and a mental health program specializing in the delivery of psychiatric services to street youth. Analysis combined the methods of constructivist grounded theory and narrative inquiry. FINDINGS: The findings illustrate five key themes in participants' conceptualizations of well-being: multidimensionality; active oriented states; social environment; identity; and normality. Dimensions of well-being identified in participants' accounts include: psychological, physical, emotional, moral/virtuous, financial/material, spiritual, and social aspects. CONCLUSIONS: Our heuristic framework for conceptualizing well-being, grounded in the narrative accounts of youth participants, can inform the future planning and design of interventions, research, and outcome measures pertaining to the well-being of youth recently diagnosed with psychosis.

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)0.001
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 score0.083
Threshold uncertainty score0.192

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.017
GPT teacher head0.312
Teacher spread0.296 · 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

Citations36
Published2014
Admission routes1
Has abstractyes

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