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Record W2125431623 · doi:10.1177/1049732309352855

Contributions of a Retreat Weekend to the Healing and Coping of Cancer Patients’ Relatives

2009· article· en· W2125431623 on OpenAlexaffabout
Antonia Arnaert, Theresa Gabos, Vincent Ballenas, Robert Rutledge

Bibliographic record

VenueQualitative Health Research · 2009
Typearticle
Languageen
FieldMedicine
TopicCancer survivorship and care
Canadian institutionsDalhousie UniversityMontreal General HospitalMcGill University
Fundersnot available
KeywordsCoping (psychology)Psychological interventionQualitative researchPsychologyFamily memberPsychotherapistMedicineFamily medicinePsychiatrySociology

Abstract

fetched live from OpenAlex

Relatives play a key role in the daily support and care of cancer patients. This role, however, can negatively affect relatives physically, psychologically, emotionally, and spiritually, challenging their health and well-being. Consequently, this could inhibit relatives' abilities to continue in their roles as caregivers. Although various studies have examined different interventions for the relatives of cancer patients, no formal research has been published on the role that retreat weekends play in their cancer journeys. In this qualitative study we used semistructured interviews to explore the experiences of 8 relatives who attended a "Skills for Healing Retreat Weekend" in Ontario, Canada. The findings indicate that the retreat, in bringing people together to partake in discussions and activities, fostered a sense of community among the participants. The retreat also had enduring effects, contributing to relatives' ongoing processes of healing as well as providing them with strategies for coping in their roles as caregivers.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.675
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.236
GPT teacher head0.585
Teacher spread0.349 · 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

Citations15
Published2009
Admission routes2
Has abstractyes

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