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Record W1998837464 · doi:10.1080/01609510902895086

Narrative Therapy, Older Adults, and Group Work?: Practice, Research, and Recommendations

2009· article· en· W1998837464 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueSocial Work With Groups · 2009
Typearticle
Languageen
FieldPsychology
TopicCounseling, Therapy, and Family Dynamics
Canadian institutionsCentre for Addiction and Mental HealthToronto Metropolitan University
Fundersnot available
KeywordsNarrativeNarrative therapyMental healthGroup psychotherapyPsychologyCoping (psychology)Qualitative researchPsychotherapistNarrative inquiryMedicineClinical psychologySociology

Abstract

fetched live from OpenAlex

In this article, the authors report on a qualitative study that explored the use of narrative therapy with a diverse group of older adults dealing with mental health and substance misuse issues. Narrative therapy supports individuals to critically assess their lives and develop alternative and empowering life stories that aim to keep the problem in its place. Although the literature suggests this is a promising intervention for individuals, there is a lack of research on narrative therapy and group work. Aiming to address this gap, the authors developed and researched a narrative therapy group for older adults coping with mental health and substance misuse issues in Toronto, Canada. Taking an ethnographic approach, field notes and interviews provided rich data on how, when, and for whom, such a group could be beneficial. Findings contribute to the literature on group work, older adults, and narrative therapy.

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.

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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.277
Threshold uncertainty score0.890

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
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 head0.029
GPT teacher head0.356
Teacher spread0.327 · 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