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Record W4283015513 · doi:10.1097/nur.0000000000000680

All in the Family

2022· article· en· W4283015513 on OpenAlexaff
Paula C. Fletcher, Stephanie Pollock, Pamela J. Bryden

Bibliographic record

VenueClinical Nurse Specialist · 2022
Typearticle
Languageen
FieldMedicine
TopicNeurogenetic and Muscular Disorders Research
Canadian institutionsWilfrid Laurier University
Fundersnot available
KeywordsCredibilityContext (archaeology)Qualitative researchTriangulationMedicineFamily caregiversTheme (computing)NursingPsychologyFamily medicineSociology

Abstract

fetched live from OpenAlex

PURPOSE: The overarching purpose of this research was to examine the experiences of 1 family living with a child with Helsmoortel-Van Der Aa syndrome or activity-dependent neuroprotective protein (ADNP) syndrome. DESIGN: A retrospective qualitative design was used for this study. METHODS: Two primary caregivers for a 5-year-old child with ADNP syndrome completed background questionnaires to provide context for semistructured interviews. Each caregiver completed 2 interviews, approximately 2 months apart. Field notes, member checks, and triangulation were used to enhance the credibility of the study. RESULTS: This article summarizes the theme "All in the Family." Having a child with ADNP syndrome affected all aspects of family life. Participants revealed that family dynamics were shaped by experiences stemming from their living arrangements and caregiving responsibilities. CONCLUSIONS: Findings from this research highlighted the need for increased support for families faced with ADNP syndrome, as well as the role clinical nurse specialists can play in the lives of caregivers faced with such a rare diagnosis. Furthermore, given the paucity of ADNP syndrome information, the need for more research is warranted.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.164
Threshold uncertainty score1.000

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.154
GPT teacher head0.461
Teacher spread0.307 · 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 designNot applicable
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

Citations1
Published2022
Admission routes1
Has abstractyes

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