Understanding South Korean Immigrant Adolescents' Experiences of Staying Home Alone
Bibliographic record
Abstract
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 machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".