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Record W2169659041 · doi:10.1177/104973201129119136

Death Stories: Acute Exacerbations of Chronic Obstructive Pulmonary Disease

2001· article· en· W2169659041 on OpenAlexaff
Patricia Hill Bailey

Bibliographic record

VenueQualitative Health Research · 2001
Typearticle
Languageen
FieldMedicine
TopicEmpathy and Medical Education
Canadian institutionsLaurentian University
Fundersnot available
KeywordsExacerbationCOPDMedicinePulmonary diseaseNarrativePremisePerspective (graphical)CentralityPsychiatryPsychologyInternal medicine

Abstract

fetched live from OpenAlex

The underlying premise of narrative research within social science literature is the belief that individuals most effectively make sense of their world by (re)constructing stories. Chronic Obstructive Pulmonary Disease (COPD) is a progressive degenerative respiratory disorder that affects approximately 15% of Canadians annually. Prior to the study discussed in this article, no research had been done to understand the frightening event of an acute exacerbation episode of COPD from the perspective of patients and their family caregivers. Hence, 10 family-nurse units were interviewed during an acute exacerbation event. The participants told a number of near-death and shadow-of-death stories that describe these episodes as life changing and illustrate the centrality of these events in the participants' understanding of their chronic illness.

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)0.004
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.007
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.018
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0070.005
Scholarly communication0.0030.004
Open science0.0010.006
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.328
GPT teacher head0.587
Teacher spread0.259 · 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 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

Citations82
Published2001
Admission routes1
Has abstractyes

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