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Record W2903317437 · doi:10.18535/ijsshi/v5i11.05

Children in Conflict with the Law (Study in Correctional Center Medan)

2018· article· en· W2903317437 on OpenAlexaboutno aff
Marlina Marlina, Mahmud Mulyadi, Nurmalawaty

Bibliographic record

VenueThe International Journal of Social Sciences and Humanities Invention · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicLegal and Social Justice Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHarmIndonesianEconomic JusticeGovernment (linguistics)Political scienceMaturity (psychological)LawCriminologyPsychology

Abstract

fetched live from OpenAlex

Children are living beings who have limitations and need protection from others. Definition of a child in criminal law, a child in conflict with the law hereinafter referred to as a child who is 12 (twelve) years old, but not reach 18 (eighteen) years old who is suspected of committing a crime. In the United Kingdom children age from zero years to 18 years.[1] In the United States, namely New York and Vermont, someone who has not reached the age of 16 is still referred to a juvenile court.[2] In Scotland the child is a person aged 7 years to 15 years old so that someone is tried in a juvenile justice. In South Australia children aged 8 years to 18 years old and in Canada someone is under 12 years old.[3] There are differences in understanding of children of each country, due to differences in social influences of child development, because the social and cultural and economic activities of each country are different. Even though things have an influence on the level of maturity of a child. It shows that social influences, social and cultural activities must be the concern of the government and society to prevent children from becoming delinquent. According to Nicholas McBala[4] childhood is a period of life development, also a period of limited ability to harm others. Status and condition of children in Indonesia is paradoxical. Ideally, children are the heirs and progressors of the nation's future. In real terms, the situation of Indonesian children is still and continues to deteriorate. The world of children that should be colored by play activities, learning and developing their interests and talents for the future, the reality is colored by dark and sad data.[5] Children still and continue to deal with the law both as victims and as perpetrators. This condition requires special attention from all components of society and the government to protect and supervise the growth of Indonesian children. So that children are not faced with the law because of doing deviant actions. The direction of legal policy aims to make law a rule that provides protection for the rights of citizens and guarantees future life in the future.[6]

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 score0.078
Threshold uncertainty score0.156

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0070.001
Scholarly communication0.0020.002
Open science0.0010.003
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0170.001

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 head0.056
GPT teacher head0.344
Teacher spread0.288 · 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
Published2018
Admission routes1
Has abstractyes

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