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Record W2115119094 · doi:10.1177/104973200129118714

Living with Change: Elderly Women’s Perceptions of Having a Myocardial Infarction

2000· article· en· W2115119094 on OpenAlexaff
Bernice Sutherland, Louise Jensen

Bibliographic record

VenueQualitative Health Research · 2000
Typearticle
Languageen
FieldMedicine
TopicCardiac Health and Mental Health
Canadian institutionsUniversity of Alberta HospitalUniversity of Alberta
Fundersnot available
KeywordsPerceptionPerspective (graphical)Qualitative researchTheme (computing)Face (sociological concept)PsychologyGerontologyMedicineSociologySocial scienceComputer science

Abstract

fetched live from OpenAlex

The purpose of the study described in this article was to explore and describe elderly (70+ years) women's perceptions of having a myocardial infarction (MI). Structured and unstructured, open-ended, face-to-face interviews with 11 women were used to collect qualitative data. The central theme that emerged was living with change. Five phases were revealed: searching for a diagnosis, being hit with the reality, discovering the nature of the change, adjusting to the change, and moving on with the change. Throughout these phases, the women were faced with the challenges of being in control, managing uncertainty, making sense, being independent, and sheltering others. The continuous process of change in their lives was taken for granted by these women. By having an understanding of the perspective of elderly women who have an MI, nurses will be more effective when caring for these individuals.

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)0.010
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.563
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0010.000

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 head0.251
GPT teacher head0.554
Teacher spread0.303 · 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.

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

Citations58
Published2000
Admission routes1
Has abstractyes

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