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Record W173847553

[Risk factors of drug use in school environment in Tunis].

2002· article· en· W173847553 on OpenAlexaboutno aff
R.A. El Amrani, Sarra Errais, Radhouane Fakhfakh, Hmida Dridi, Emna Ben Said, Habib Ben Othman, Abdelmajid Ben Hamida

Bibliographic record

VenuePubMed · 2002
Typearticle
Languageen
FieldHealth Professions
TopicSchool Health and Nursing Education
Canadian institutionsnot available
Fundersnot available
KeywordsCannabisQuarter (Canadian coin)MedicineAddictionDrugDemographyEnvironmental healthAlcohol consumptionPsychiatryAlcoholGeographyBiology
DOInot available

Abstract

fetched live from OpenAlex

The aim of the study was to estimate the prevalence of addiction and drug use among Tunisian school teenagers as well as the risk factors associated with this conduct. A transversal study of "Knowledges, Behaviors and Practices" (KBP) has therefore been conducted among 353 school teenagers in the area of Tunis by means of an anonymous and self administered questionnary. Pupils' ages range from 12 to 24 with as many boys as girls (51.6% VS 48.4%). Three quarter (3/4) of the pupils have heard of drugs, the cannabis ("zatla") being the most common referred to; nearly 13% of the pupils said they have consumed drug at last once, half among them more then 3 times. The risk factors associated with drug use are the male sex (p = 10-7), tobacco or alcohol consumption (p = 10-8), violent behaviors (p = 10-4) and a confactual situation with parents (p = 10-5). A prevention of the problem should be based on an action over the identified risk factors.

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)0.000
metaresearch head score (Gemma)0.001
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 score0.069
Threshold uncertainty score0.137

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.000

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 head0.098
GPT teacher head0.347
Teacher spread0.249 · 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

Citations4
Published2002
Admission routes1
Has abstractyes

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