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Record W4396955866 · doi:10.3390/rel15050612

Connecting to Resilience, Hope, and Spirituality through a Narrative Therapy and Narrative Medicine Creative Writing Group for People Affected by Cancer

2024· article· en· W4396955866 on OpenAlexaff
Laura Béres, Leah Getchell, Amandi Perera

Bibliographic record

VenueReligions · 2024
Typearticle
Languageen
FieldPsychology
TopicOptimism, Hope, and Well-being
Canadian institutionsLondon Health Sciences CentreThe King's UniversityWestern University
Fundersnot available
KeywordsNarrativeSpiritualityNarrative therapyResilience (materials science)Narrative medicinePsychotherapistPsychologyGroup psychotherapyGroup (periodic table)Creative writingAlternative medicineMedicineLiteratureArt

Abstract

fetched live from OpenAlex

In this article, the authors will describe a creative writing therapeutic group program they developed based on narrative therapy and narrative medicine principles. This was a Social Science and Humanities Research Council—Partnership Engagement Grant funded project, the aim of which was to develop a facilitator’s manual for people interested in offering this group, titled “Journey through Words”. The link to the agency partner’s website, where the manual is available, is provided. The group program is structured over 6 weeks and includes a writing prompt each week, focusing on the storyline of resilience rather than the storyline of diagnosis or disease. Using a narrative inquiry approach, the facilitators kept brief field notes following group meetings. These field notes indicate that although spirituality was not planned as an identified focus of the program, due to the space narrative therapy provides for people to describe their values, preferences, and hopes during hardship, the experience of the group was that members shared reflections which were deeply spiritual in nature.

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)0.000
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 score0.041
Threshold uncertainty score0.880

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 integrity0.0000.000
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 head0.026
GPT teacher head0.370
Teacher spread0.344 · 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 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

Citations0
Published2024
Admission routes1
Has abstractyes

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