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Policonsumo simultáneo de drogas en estudiantes de pregrado del área de la salud de una universidad, San Salvador - El Salvador

2012· article· es· W1886730907 on OpenAlexaff

Bibliographic record

VenueTexto & Contexto - Enfermagem · 2012
Typearticle
Languagees
FieldSocial Sciences
TopicYouth, Drugs, and Violence
Canadian institutionsCentre for Addiction and Mental HealthHealth CanadaUniversity of Toronto
Fundersnot available
KeywordsAlcohol consumptionTransversal (combinatorics)Consumption (sociology)

Abstract

fetched live from OpenAlex

El objetivo del estudio fue describir los patrones de policonsumo simultáneo de drogas en estudiantes de pregrado de una universidad de la ciudad de San Salvador, El Salvador. Estudio de diseño transversal y análisis descriptivo, con un tamaño de la muestra de 309 estudiantes. Un 5.18% de los estudiantes reporto policonsumo simultaneo en los últimos 12 meses, cifra que se reduce a 4.21% para los últimos 30 días. La edad promedio de inicio del policonsumo fue 16.9 años. En los últimos 12 meses y 30 días, la combinación más usada entre los estudiantes fue alcohol + tabaco con 2.3%. Las características de consumo más referidas fueron: el aprendizaje individual/por sí mismo, el consumo en grupos mixtos, fuera de la universidad/en clubes nocturnos y el hacerlo para la relajación.

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)0.003
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 score0.061
Threshold uncertainty score0.122

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.147
GPT teacher head0.456
Teacher spread0.309 · 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

Citations2
Published2012
Admission routes1
Has abstractyes

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