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Record W2093401725 · doi:10.7870/cjcmh-2005-0018

Youth Experiences of Living with Mental Health Problems: Emergence, Loss, Adaptation and Recovery (Elar)

2005· article· en· W2093401725 on OpenAlexaffvenue
JoAnn Elizabeth Leavey

Bibliographic record

VenueCanadian Journal of Community Mental Health · 2005
Typearticle
Languageen
FieldHealth Professions
TopicAdolescent and Pediatric Healthcare
Canadian institutionsProvincial Health Services AuthorityUniversity of British Columbia
Fundersnot available
KeywordsMental healthPsychologyPsychological interventionAdaptation (eye)Clinical psychologyMental illnessDevelopmental psychologyPsychiatry

Abstract

fetched live from OpenAlex

Current understanding of youth aged 15-24 experiencing mental health problems is limited. Through a qualitative analysis of the subjective experiences of 7 male and 6 female youths, 4 core categories emerged as stages that described the participants' process of mental illness: emergence, loss, adaptation, and recovery. Results showed that youth experiencing mental health problems felt stigmatized and labelled, and experienced multiple losses of identity, family, career choices, and educational and social standing. Participants reported that having mental health problems disrupted their transition from adolescence to young adulthood; however, these data reveal how youth adapt and recover. Implications of the findings in this study will be useful in identifying youth-focused interventions that may help professionals assist youth more effectively in their recovery process.

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)0.002
metaresearch head score (Gemma)0.003
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: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0020.002
Scholarly communication0.0020.001
Open science0.0000.003
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.105
GPT teacher head0.373
Teacher spread0.268 · 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

Citations67
Published2005
Admission routes2
Has abstractyes

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