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Record W2140842546 · doi:10.1177/1074840705275464

Canadian Families Caring for Members With Mental Illness: A Vicious Cycle

2005· article· en· W2140842546 on OpenAlexaffabout
Catherine Ward‐Griffin, Ruth Schofield, Sandra Vos, Robin Coatsworth‐Puspoky

Bibliographic record

VenueJournal of Family Nursing · 2005
Typearticle
Languageen
FieldPsychology
TopicFamily Caregiving in Mental Illness
Canadian institutionsUniversity of WaterlooMcMaster UniversityWestern University
Fundersnot available
KeywordsMental illnessThematic analysisMental healthPsychologyNursingVirtuous circle and vicious circleQualitative researchFamily memberMedicinePsychiatryFamily medicineSociology

Abstract

fetched live from OpenAlex

The purpose of this qualitative, descriptive study was to explore the perspectives of individuals who were caring for a family member with a mental illness, with particular attention to housing, quality of supports, and formal care services. Eleven focus groups with family caregivers (N = 75) were conducted. Both individual and team thematic analyses were undertaken until interpretations of the experiences of the participants were inductively developed and conceptualized into a holistic interpretation. Findings revealed that family caregivers were part of a "circle of care," supporting the independence of the individual with mental illness while attempting to protect their family member with mental illness. However, findings suggested that this circle of care led to a "vicious cycle" of caregiving. Three major themes were identified: witnessing inadequacies, working behind the scenes, and creating a better world. Health-promoting family nursing practice and policy implications, as well as areas for further research, are discussed.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.702
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.306
Teacher spread0.289 · 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

Citations22
Published2005
Admission routes2
Has abstractyes

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