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Record W4391171155 · doi:10.1111/cfs.13140

‘Supervising children to be good people’: Parents and children's views of child supervision in Laos

2024· article· en· W4391171155 on OpenAlexafffund
Mónica Ruiz‐Casares, Saithong Phommavong, Sol Park, Maliphone Douangphachanh

Bibliographic record

VenueChild & Family Social Work · 2024
Typearticle
Languageen
FieldPsychology
TopicChild Abuse and Trauma
Canadian institutionsToronto Metropolitan UniversityMcGill UniversityCentres Intégré Universitaires de Santé et de Services SociauxCentre Intégré Universitaire de Santé et de Services Sociaux du Centre-Sud-de-l'Île-de-Montréal
FundersFonds de Recherche du Québec - SantéMcGill University
KeywordsPsychologyDevelopmental psychology

Abstract

fetched live from OpenAlex

Abstract Researchers have paid little attention to child supervision in Laos, an ethnically‐diverse country with a community‐informal child protection system, and where many young children are regularly home alone or with another child. To explore what constitutes (in)adequate child supervision and its perceived effects, we conducted individual interviews with community leaders and professionals ( n = 23) and focus group discussions with parents/adult caregivers ( n = 74) and 12–17 year‐old children ( n = 51) in six rural villages in Saravane and Borikhamxay provinces. Adults and children in both provinces described similar understandings and support systems of child supervision. Mothers are the main caregivers of young children, and literate fathers contribute to supervising school‐age children. Grandparents, older siblings and other relatives, teachers, and village authorities contribute substantively to child supervision. The main aims of supervision are child safety, socialization and moral development in cultural context. Parental unavailability due to employment, farming and migration; limited infrastructure; and lack of material resources are the main barriers to adequate supervision and may result in injuries, school dropout, teenage pregnancy and illicit drug use. Understanding the determinants, consequences, and patterns of child supervision across cultural and socio‐economic groups is needed to inform culturally acceptable strategies to support children and 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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.184
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.025
GPT teacher head0.294
Teacher spread0.269 · 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 designObservational
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

Citations4
Published2024
Admission routes2
Has abstractyes

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