MétaCan
Menu
Back to cohort
Record W4408245506 · doi:10.1111/jar.70029

Narratives From Female Siblings of Adults With Intellectual and Developmental Disabilities: A Photovoice Study on Identity and Growth Experiences in South Korea

2025· article· en· W4408245506 on OpenAlexaff
Min Ah Kim, Jaehee Yi, Shinyeong Hwang, Jimin Sung, Seong Young Lee, Hee‐Jin Kim

Bibliographic record

VenueJournal of Applied Research in Intellectual Disabilities · 2025
Typearticle
Languageen
FieldPsychology
TopicFamily and Disability Support Research
Canadian institutionsUniversity of Victoria
FundersSungkyunkwan University
KeywordsPhotovoicePsychologySiblingIntellectual disabilityDevelopmental psychologyIdentity (music)NarrativeAutismPsychiatry

Abstract

fetched live from OpenAlex

BACKGROUND: This study sought a holistic understanding of lived experiences of individuals with a sibling who has intellectual and developmental disabilities using photovoice. METHODS: Seven adult female siblings of individuals with intellectual and developmental disabilities in South Korea engaged in six weekly photovoice sessions, including an orientation session, phototaking on participant-driven themes, and four group discussion sessions in which they shared their photos. RESULTS: Thirteen subthemes related to four primary themes highlighted their experiences. Although these siblings faced pressure from the responsibilities of caregiving, they described growth and reflection on their identities, subsequent shifts in perspectives, and finding a balance between self-care and fulfilling responsibilities to maintain their love for their sibling. CONCLUSIONS: Social work professionals should acknowledge their challenges and growth and help them find balance in their life and caregiving role. It is also important to address their unique needs by considering the intersection of gender, culture, and disability.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.002
Scholarly communication0.0010.002
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.111
GPT teacher head0.399
Teacher spread0.288 · 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 source (direct Gemma or distilled Codex), 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

Citations6
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Applied Research in Intellectual DisabilitiesSame topicFamily and Disability Support ResearchFrench-language works237,207