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Record W4416562009 · doi:10.1111/cfs.70083

Understanding South Korean Immigrant Adolescents' Experiences of Staying Home Alone

2025· article· en· W4416562009 on OpenAlexafffundabout
Sol Park, Mónica Ruiz‐Casares

Bibliographic record

VenueChild & Family Social Work · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicChild Welfare and Adoption
Canadian institutionsMcGill University
FundersKorean Canadian Scholarship Foundation
KeywordsImmigrationThematic analysisMaturity (psychological)Settlement (finance)Culturally sensitiveCultural diversityCulturally appropriateSocial work

Abstract

fetched live from OpenAlex

ABSTRACT Adequate caregiver supervision is crucial for the well‐being of children and adolescents, helping to promote healthy development and to prevent injuries and emotional–behavioural problems. The transition from childhood to adolescence requires careful consideration of cultural norms. This is particularly true in Canada, a culturally diverse country where cultural norms influence supervision practices. While there has been some attention to studying the phenomenon of children home alone, little research incorporates adolescents' perspectives or focuses on immigrant families, particularly South Koreans. This study, involving interviews with South Korean immigrant caregivers ( n = 15) and adolescents ( n = 10), explores the experiences and determinants of children being home alone in the Greater Toronto Area (GTA), highlighting both positive and negative consequences. Using thematic analysis, findings revealed that factors such as child's age, sex, maturity and responsibility influence the decisions for children to stay home alone. South Korean caregivers' and adolescents' views are shaped by both South Korean and Canadian cultural norms. Understanding these perspectives can help social workers and settlement and integration organisations tailor culturally appropriate interventions, promoting adequate caregiver supervision and ensuring the safety and well‐being of children and adolescents in South Korean immigrant families.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.105
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.042
GPT teacher head0.278
Teacher spread0.235 · 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

Citations0
Published2025
Admission routes3
Has abstractyes

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