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Record W2104996133 · doi:10.1177/1049732314551057

Pediatric Perspectives on Diabetes Self-Care

2014· article· en· W2104996133 on OpenAlexaffabout
Donna Koller, Noshin Khan, Shaun Barrett

Bibliographic record

VenueQualitative Health Research · 2014
Typearticle
Languageen
FieldMedicine
TopicDiabetes Management and Research
Canadian institutionsHospital for Sick ChildrenToronto Metropolitan University
Fundersnot available
KeywordsCompetence (human resources)Qualitative researchSelf carePsychologyOutpatient clinicDiseaseMedicineGerontologyDevelopmental psychologyFamily medicineNursingMedical educationHealth careSocial psychologySociology

Abstract

fetched live from OpenAlex

We conducted this qualitative study to explore children's and adolescents' perspectives about diabetes self-care, their knowledge of diabetes, and their emotions associated with having the disease. Drawing on the new sociological approach that acknowledges children's competence in discussing complex issues that concern them, we conducted individual interviews with a cross-sectional sample of 48 patients between the ages of 5 and 18 years. We recruited participants from a diabetes outpatient clinic within a large pediatric hospital in one of Canada's major urban centers. In this article, we present data from the following major themes: self-care, knowledge, and emotions. Through an in-depth analysis of these integrated themes, we offer validation that emotional support, along with disease education, provides supportive conditions for engaging in self-care and a process of acceptance.

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)0.011
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.117
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0110.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.001

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 head0.226
GPT teacher head0.560
Teacher spread0.334 · 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.

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

Citations28
Published2014
Admission routes2
Has abstractyes

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