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Record W2037342591 · doi:10.1353/pbm.2007.0027

Five Dramas of Illness

2007· article· en· W2037342591 on OpenAlexaff
Arthur W. Frank

Bibliographic record

VenuePerspectives in biology and medicine · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicEmotional Labor in Professions
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsDramaNarrativeMeaning (existential)PsychologyValue (mathematics)AestheticsPsychoanalysisSocial psychologyLiteraturePsychotherapistArt

Abstract

fetched live from OpenAlex

First-person narratives of illness experience are dramatic: the narrator, who is also the sufferer, is caught in conflicts of forces that permit understanding more than control. Among the dramas of illness, five occur frequently in autobiographical accounts of illness. These dramas overlap and have varying emphases in different people's stories. They are the drama of genesis (what instigated the illness); the drama of emotion work (what emotional displays are required or prohibited); the drama of fear and loss; the drama of meaning; and finally, the drama of self. This five-drama framework can focus critical and clinical attention on which conflicting forces the ill person is working to reconcile, what makes that work difficult, and how conceiving of one's illness as a drama can be a source of meaning and value.

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)0.005
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: none
Teacher disagreement score0.007
Threshold uncertainty score0.025

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.007
Scholarly communication0.0040.003
Open science0.0010.007
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0070.001

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 head0.025
GPT teacher head0.436
Teacher spread0.410 · 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

Citations75
Published2007
Admission routes1
Has abstractyes

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