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Record W2171219466 · doi:10.1177/1359104512465740

‘A tale of two cases:’ The health, illness, and physical activity stories of two children living with cystic fibrosis

2012· article· en· W2171219466 on OpenAlexaffabout
Fiona J Moola, Guy Faulkner

Bibliographic record

VenueClinical Child Psychology and Psychiatry · 2012
Typearticle
Languageen
FieldHealth Professions
TopicDigital Storytelling and Education
Canadian institutionsUniversity of TorontoUniversity of Manitoba
Fundersnot available
KeywordsNarrativeStorytellingNarrative inquiryCystic fibrosisPsychologySociology of health and illnessDevelopmental psychologyMedicineHealth careLiterature

Abstract

fetched live from OpenAlex

Storytelling is perennial, and central to the human condition. Although illness may shatter identity and one's role and place in the broader social world, narrative may aid in the process of self-reparation. Despite the merits of the narrative approach, it has been underutilized with children who are living with cystic fibrosis (CF). The role that illness narratives may play in influencing CF youths' physical activity also remains poorly investigated. This article drew on the qualitative case study methodological tradition to narrate the stories of two children living with CF at a children's hospital in Canada. The findings beg researchers to consider (a) how children with life-limiting diseases borrow multiple illness narrative types, (b) the role of development in influencing the kinds of stories that children can tell, and (c) the impact of illness narratives on physical activity. By rendering the tales of two CF youth in this study, we respond to Aurthur Frank's call; taking a multiple narrative turn, we listen to stories of a different kind of suffering.

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)0.001
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.507

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.055
GPT teacher head0.465
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 teacher head, not a consensus.

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

Citations12
Published2012
Admission routes2
Has abstractyes

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