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Record W1913654656

A Group-Based Program of Emotional Recovery for Younger Women Following Myocardial Infarction.

2007· article· en· W1913654656 on OpenAlexaffvenueabout
Michele Bowers, Marla J. Buchanan

Bibliographic record

VenueCanadian Journal of Counselling and Psychotherapy · 2007
Typearticle
Languageen
FieldMedicine
TopicCardiac Health and Mental Health
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsPsychosocialIntervention (counseling)Myocardial infarctionPsychologyClinical psychologyMedicinePerceptionHealth carePsychiatry
DOInot available

Abstract

fetched live from OpenAlex

Heart disease is the leading cause of illness, disability, and death among women in Canada. Myocardial infarction (MI) accounts for almost half of these deaths yearly. The purpose of this study was to understand younger women’s experience of recovery from MI. A purposive sample consisting of six younger women diagnosed with MI participated in an eight-week guided autobiographical (GA) group intervention where they engaged in weekly reflection, writing, and group dialogue. The experience of loss, uncertainty, changes in self-perception, self-care, health care and support from others, and caring for others emerged from the data analysis. GA was shown to be an effective psychosocial intervention to facilitate emotional recovery following a significant cardiac event as all participants described the GA group as a therapeutic component of 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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.322
Teacher spread0.305 · 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 designObservational
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
Published2007
Admission routes3
Has abstractyes

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