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Record W2591442166 · doi:10.1097/nur.0000000000000280

“…Part of My Identity”

2017· article· en· W2591442166 on OpenAlexaff
Laura Clausi, Margaret A. Schneider

Bibliographic record

VenueClinical Nurse Specialist · 2017
Typearticle
Languageen
FieldMedicine
TopicDiabetes Management and Research
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsIdentity (music)PsychologyPhilosophyAesthetics

Abstract

fetched live from OpenAlex

PURPOSE: The purpose of this study was to explore the lived experiences of young women with type 1 diabetes and the ways in which their self-management of their illness may influence their perceived sense of self. METHODS: Semistructured interviews were conducted with 7 women aged 18 to 22 years who had been formally given a diagnosis of type 1 diabetes. Interviews were audiotaped and transcribed verbatim, and subsequent member checks were completed. Returned member checks and transcriptions were then analyzed using a form of thematic analysis. RESULTS: Three main themes emerged from the data including (1) "I just want to be more free, I guess"; (2) "It's just, like another part of me"; and (3) "I just kind of want to be normal, like I don't even have diabetes." A number of subthemes within each theme were also identified. DISCUSSION: Findings indicated that many aspects of the young women's day-to-day illness management routine impacted the way in which they viewed themselves. Key aspects that were identified by these women included issues with wanting to feel more free in terms of how they self-manage, trying to stay positive, and wanting to be normal, yet feeling as though they are still different from their peers.

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)0.002
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.535
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.129
GPT teacher head0.490
Teacher spread0.361 · 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 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

Citations10
Published2017
Admission routes1
Has abstractyes

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