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Record W1968060576 · doi:10.1111/jan.12149

Stories of chronic kidney disease: listening for the unsayable

2013· article· en· W1968060576 on OpenAlexafffund
Kara Schick‐Makaroff, Laurene Sheilds, Anita Molzahn

Bibliographic record

VenueJournal of Advanced Nursing · 2013
Typearticle
Languageen
FieldMedicine
TopicDialysis and Renal Disease Management
Canadian institutionsUniversity of VictoriaUniversity of Alberta
FundersCanadian Institutes of Health Research
KeywordsActive listeningKidney diseaseNarrativeEmbodied cognitionThematic analysisDiseaseMedicineQualitative researchPsychologySociologyPathologyPsychotherapistLinguisticsSocial scienceEpistemology

Abstract

fetched live from OpenAlex

AIMS: To explore individuals' stories of chronic kidney disease, particularly those aspects of experience that are difficult to discuss using language (i.e. unsayable). BACKGROUND: Chronic kidney disease is continuous, but it is also life-threatening and sometimes people ask difficult questions about life and death that can be challenging and for some, impossible to discuss. These 'unsayables' are the focus of this article. The unsayable may reside both within and beyond language. Careful analysis of narratives of illness for sayable and unsayable aspects of the experience can help illuminate new areas of concern for people with chronic kidney disease. DESIGN: Narrative inquiry, located in a social constructionist framework, guided this study. METHODS: Secondary data analysis was conducted with 46 in-depth interviews (collected between 2008-2011) with 14 people living with chronic kidney disease. FINDINGS: Through narrative thematic analysis, we identify that the unsayable includes the following five themes: living with death, embodied experiences that were difficult to language, that which was unthinkable, unknowable mystery and that which was untold/unheard. Whereas the first four themes attend to that which is unsayable for people living with chronic kidney disease, the last theme acknowledges that which is unsayable to people living with chronic kidney disease. CONCLUSION: Not all experiences of illness can be explicitly articulated in language. Listening for both the sayable and unsayable aspects of life with chronic and life-threatening illness is an important nursing role.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.866
Threshold uncertainty score0.187

Codex and Gemma teacher scores by category

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

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 head0.013
GPT teacher head0.306
Teacher spread0.293 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
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

Citations18
Published2013
Admission routes2
Has abstractyes

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