MétaCan
Menu
Back to cohort
Record W4402876562 · doi:10.51380/gujr-40-03-06

UNRAVELING THE DYNAMICS OF JUVENILE DELINQUENCY: A STUDY OF LIVED EXPERIENCES OF YOUTH

2024· article· en· W4402876562 on OpenAlexaff
Mubeshera Tufail, Madiha Ashfaq

Bibliographic record

VenueGomal University Journal of Research · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicYouth Development and Social Support
Canadian institutionsEducation and Early Childhood Development
Fundersnot available
KeywordsJuvenile delinquencyDynamics (music)JuvenileCriminologyPsychologyBiologyEcology

Abstract

fetched live from OpenAlex

Juvenile delinquency, the participation of minors in illegal activities, remains a critical social issue affecting communities worldwide. The purpose of the study was to assess the factors affecting child delinquency for the students enrolled in elementary grades. For this study, qualitative research design with phenomenological inquiry was adopted. In this regard, the purposive sampling technique was used to select 4-participants who were involved in delinquent acts. Semi-structured interviews were conducted with the participants. The duration of one interview was 30-35 minutes. The audio recording of interviews was transcribed. The data were analyzed through coding and thematic analysis. The result of the study found that there were personal, family and social factors that causing or triggering the delinquent youngsters for socially/legally disapproved acts. Dealing with the causes of child delinquency is important for effectively resolving problem. As there were multiple factors involved in the child delinquency, and multi-sectoral intervention may be adopted by involving the delinquent youngster, their family, their peer group, community, school and environment. The findings of suty provide sinfificant information in reaching the conclusion and thus conctributing the existing knowledge on the issues under consideration in particular context.

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)0.004
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.032
Threshold uncertainty score0.436

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.000
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 science0.0010.000
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 head0.110
GPT teacher head0.381
Teacher spread0.271 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations0
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueGomal University Journal of ResearchSame topicYouth Development and Social SupportFrench-language works237,207