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Policonsumo simultáneo de drogas en estudiantes de pregrado del área de la salud en una universidad, León - Nicaragua

2012· article· es· W2086868280 on OpenAlexaff
Andrés Herrera Rodríguez, Laura Simich, Carol Strıke, Bruna Brands, Norman Giesbrecht, Akwatu Khenti

Bibliographic record

VenueTexto & Contexto - Enfermagem · 2012
Typearticle
Languagees
FieldHealth Professions
TopicHealth and Lifestyle Studies
Canadian institutionsCentre for Addiction and Mental HealthUniversity of Toronto
Fundersnot available
KeywordsCannabisCocaHumanitiesMedicinePsychologyPsychiatryArt

Abstract

fetched live from OpenAlex

Las drogas constituyen una seria amenaza para la salud internacional. Este estudio tuvo como objetivo explorar los patrones de policonsumo simultáneo y sus implicaciones legales y sociales entre estudiante de pregrado. El estudio fue de corte transversal, y en el participaron 357 estudiantes de pregrado del área de la salud de una universidad. El 52.1% de los participantes dijo haber usado sustancias psicoactivas alguna vez en su vida, y el 42.6% dijo haber consumido en los últimos 12 meses. En el último año, un 80.3% refirió haber consumido alcohol, un 34.2% tabaco, un 5.9% drogas de prescripción, un 4.6% cannabis, y un 3.9% cocaína/crack. En relación al consumo simultáneo en los últimos 12 meses, las cifras de reportadas fueron de 14.7% para alcohol + tabaco + cannabis, y de 8.8% para las todas las siguientes combinaciones: alcohol + cannabis, alcohol + cocaína, y cannabis + cocaína. Factores asociados al consumo fueron identificados. Se sugieren programas preventivos e investigación adicional en el tema.

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)0.005
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 score0.325
Threshold uncertainty score0.647

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0000.001
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 head0.300
GPT teacher head0.550
Teacher spread0.251 · 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

Citations7
Published2012
Admission routes1
Has abstractyes

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