MétaCan
Menu
Back to cohort
Record W2009012490 · doi:10.1081/ja-200055404

Juvenile Drug Use and Delinquency: Youths' Accounts of Their Trajectories

2005· article· en· W2009012490 on OpenAlexaffabout
Natacha Brunelle, Marie‐Marthe Cousineau, Serge Brochu

Bibliographic record

VenueSubstance Use & Misuse · 2005
Typearticle
Languageen
FieldMedicine
TopicSubstance Abuse Treatment and Outcomes
Canadian institutionsUniversité de MontréalUniversité du Québec à Trois-Rivières
Fundersnot available
KeywordsJuvenile delinquencyThematic analysisPsychologyAddictionQualitative researchDevelopmental psychologySubstance useHuman factors and ergonomicsCriminologySuicide preventionPoison controlClinical psychologySociologyPsychiatryMedicineMedical emergencySocial science

Abstract

fetched live from OpenAlex

This study focuses mainly on youths' opinions about their delinquency and drug use trajectories. A qualitative approach was taken for this phenomenological research. The life account method was used to conduct a total of 62 interviews: 36 boys and 26 girls recruited in youth detention and addiction treatment centers, youth centers, high schools, and on the streets of three cities in Quebec between 1996 and 2002. Thematic analysis was used, and the deviant trajectories of the youths are broken down into five stages. Our study provides an incomplete view of these youths' more or less deviant trajectories. It would be interesting to do a follow-up study.

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)0.002
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.154
Threshold uncertainty score0.306

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0050.001
Scholarly communication0.0020.002
Open science0.0010.002
Research integrity0.0000.001
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 head0.040
GPT teacher head0.274
Teacher spread0.234 · 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 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

Citations21
Published2005
Admission routes2
Has abstractyes

Explore more

Same venueSubstance Use & MisuseSame topicSubstance Abuse Treatment and OutcomesFrench-language works237,207