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Record W4399053653 · doi:10.1002/jad.12353

“Filling in the gap”: A qualitative case study about identity construction of siblings of youth with a neurodisability

2024· article· en· W4399053653 on OpenAlexaffabout
Linda Nguyen, Susan M. Jack, Hanae Davis, Samantha Bellefeuille, Dana Arafeh, Briano Di Rezze, Marjolijn Ketelaar, Jan Willem Gorter

Bibliographic record

VenueJournal of Adolescence · 2024
Typearticle
Languageen
FieldPsychology
TopicFamily and Disability Support Research
Canadian institutionsMcMaster Children's HospitalMcMaster UniversityImpactMcGill University
Fundersnot available
KeywordsPsychologyIdentity (music)Qualitative researchDevelopmental psychologySociology

Abstract

fetched live from OpenAlex

INTRODUCTION: In families of children with a neurodisability, siblings have unique experiences that can shape their identity. There is limited information about the developmental process of how siblings form their identity. This study aims to understand the identity construction of young siblings who have a sibling with a neurodisability. METHODS: As part of a patient-oriented research program, we engaged with our Sibling Youth Advisory Council in Canada. In this qualitative case study, data from semi-structured interviews augmented by photo elicitation and graphic elicitation of relational maps were analyzed using reflexive thematic analysis. RESULTS: Nineteen sibling participants (median age = 19 years, range = 14-33 years) reflected on the uniqueness of their role during childhood. During adolescence and emerging adulthood, they became closer with their sibling with a neurodisability and increased communication with their parents about how to care for their sibling with a neurodisability. These experiences influenced how they explored and began to reconcile their sibling identity with their professional and social identities. CONCLUSION: Siblings of youth with a neurodisability discover their unique identity and require support in this developmental process. Future interventions could evaluate how supports for siblings can have an impact on the positive development of their identity.

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)0.005
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.479
Threshold uncertainty score0.276

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.122
GPT teacher head0.453
Teacher spread0.331 · 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 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

Citations3
Published2024
Admission routes2
Has abstractyes

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