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Record W2047415208 · doi:10.1080/1067828x.2013.786921

Association of Educational Attainment and Adolescent Substance Use Disorder in a Clinical Sample

2014· article· en· W2047415208 on OpenAlexaff
Tunde Apantaku-Olajide, Philip James, Bobby P. Smyth

Bibliographic record

VenueJournal of Child & Adolescent Substance Abuse · 2014
Typearticle
Languageen
FieldPsychology
TopicChild and Adolescent Psychosocial and Emotional Development
Canadian institutionsSaint John Regional HospitalDalhousie University
Fundersnot available
KeywordsSubstance abusePsychosocialPsychologySubstance useDropout (neural networks)Intervention (counseling)Clinical psychologyMainstreamOddsPsychiatryDemographicsEducational attainmentMedicineLogistic regressionDemography

Abstract

fetched live from OpenAlex

This study explores substance use, psychosocial problems, and the relationships to educational status in 193 adolescents (school dropouts, 63; alternative education, 46; mainstream students, 84) who attended a substance abuse treatment facility in Dublin, Ireland. The study found that the 3 groups exhibited statistically significant differences in their substance use problems, with the school dropouts displaying significantly more problems. The need for early detection and intervention of at-risk students, and collaborative interagency work aimed at addressing substance use, cannot be overemphasized as strategies to ultimately prevent school dropout.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.020
GPT teacher head0.298
Teacher spread0.278 · 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

Citations11
Published2014
Admission routes1
Has abstractyes

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