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Record W4379656145 · doi:10.54254/2753-7048/5/20220666

The Influence of Family Factors on Juvenile Delinquency

2023· article· en· W4379656145 on OpenAlexaff
Ruixi Sun, Yixuan Wang

Bibliographic record

VenueLecture Notes in Education Psychology and Public Media · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicPsychosocial Factors Impacting Youth
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsJuvenile delinquencyAffect (linguistics)PsychologyImprisonmentDevelopmental psychologySocioeconomic statusJuvenileCriminologySocial psychologyDemographySociology

Abstract

fetched live from OpenAlex

Juvenile delinquency is a quite serious social issue, and family is one of the important factors which can affect juvenile delinquency. This study mainly explored how can family factors influence crimes that are committed by teenagers, and the content will mainly be divided into five parts. Firstly, the effect of the social-economic status of a family will be illustrated. It shows that delinquent behaviors are more likely to show in teenagers with poor socioeconomic positions. Also, the geographical location that teenagers live is able to affect the probability of juvenile delinquency. In addition, youngsters living in non intact families are more likely to show criminal behavior than others living in intact and traditional families. The factors of the parents themselves are also considered in this study. In terms of parental self-control, parents who have a low ability in controlling their emotions (showing more irritable emotions) are more likely to lead a passion for a crime for their children. In addition, parental imprisonment is likely to cause psychological stress for the child and affects boys theft rates. In terms of parenting styles, children who grow up under laissez-faire parenting, lack of supervision, and love from their parents are more probable to become criminals later.

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)0.001
metaresearch head score (Gemma)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.275
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
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 head0.053
GPT teacher head0.398
Teacher spread0.345 · 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

Citations1
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueLecture Notes in Education Psychology and Public MediaSame topicPsychosocial Factors Impacting YouthFrench-language works237,207