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Record W4409160738 · doi:10.53894/ijirss.v8i2.5886

Family circumstances and the law violations of juvenile delinquency - A quantitative research in Vietnam

2025· article· en· W4409160738 on OpenAlexaff
Chau Hoang Xuan, Ha Ngoc, Thang The Nguyen

Bibliographic record

VenueInternational Journal of Innovative Research and Scientific Studies · 2025
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicGlobal Socioeconomic and Political Dynamics
Canadian institutionsNorthern College
Fundersnot available
KeywordsJuvenile delinquencyCriminologyJuvenilePolitical scienceLawPsychologyBiology

Abstract

fetched live from OpenAlex

In Vietnam, juvenile delinquency is significant and growing, primarily due to various socio-economic and family issues. This study explores family circumstances (FC) in relation to juvenile crime, indicating how parental neglect can lead to domestic violence, economic hardships, and a lack of proper guidance, which set the stage for law violations committed by minors. Through the narration of legal cases, official reports, and sociological surveys, the research identifies the top family-related factors that propel juvenile delinquency. The research results indicate that unstable family realities, characterized by broken homes, lack of parental supervision, and demonstrations of criminal behavior, considerably increase the chances of youth offending. It highlights that stronger family-based interventions, social support systems, and reforms in juvenile justice policies are necessary for reducing youth crime rates in Vietnam.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.070
Threshold uncertainty score0.140

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.264
GPT teacher head0.473
Teacher spread0.210 · 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 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

Citations1
Published2025
Admission routes1
Has abstractyes

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