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Record W2324060927 · doi:10.1300/j010v37n01_02

Illness Stories

2003· article· en· W2324060927 on OpenAlexaff
Deborah Docherty, Mary Ann McColl

Bibliographic record

VenueSocial Work in Health Care · 2003
Typearticle
Languageen
FieldMedicine
TopicEmpathy and Medical Education
Canadian institutionsHotel Dieu Hospital
Fundersnot available
KeywordsNarrativeCoping (psychology)PsychologyMeaning (existential)Grounded theoryPsychotherapistLife reviewQualitative researchMedicineSociologyAlternative medicineSocial science

Abstract

fetched live from OpenAlex

The purpose of this study was to explore the use of narrative as a tool to understand the experience of chronic illness. The study is phenomenological in nature, using elements of grounded theory and social constructionism to consider the data collected. As examples of the issues raised using the narrative approach, the paper describes four themes that were pervasive in the first-person accounts of these individuals: 1. Emotional reaction to the diagnosis--Because of both the form and content in the narratives, these are described as 'peak experiences'; 2. Impact of stress--As a precipitator of symptoms or illness, as an ongoing aggravator of the chronic illness, or as a factor in overall coping with the chronic illness; 3. View of death--Named by all four individuals as it relates to their view of life; 4. Illness meaning--Coined by two of the individuals as 'philosophy of life.' These themes were interpreted in terms of their implications for therapeutic relationships with people with disabilities and chronic illnesses.

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)0.002
metaresearch head score (Gemma)0.008
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: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.038
Threshold uncertainty score0.128

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0040.002
Scholarly communication0.0040.004
Open science0.0010.006
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0380.006

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 head0.024
GPT teacher head0.373
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 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

Citations32
Published2003
Admission routes1
Has abstractyes

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