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Influencia de pares, familia, espiritualidad, entretenimiento y consumo de drogas en estudiantes de Universidad en Manabi, Ecuador

2015· article· es· W2252294205 on OpenAlexafffund
Magaly Scott, Samuel Noh, Bruna Brands, Hayley A. Hamilton, Denise Gastaldo, Maria da Glória Miotto Wright, Francisco Cumsille, Akwatu Khenti

Bibliographic record

VenueTexto & Contexto - Enfermagem · 2015
Typearticle
Languagees
FieldMedicine
TopicSubstance Abuse Treatment and Outcomes
Canadian institutionsHealth CanadaUniversity of Toronto
FundersForeign Affairs and International Trade CanadaGovernment of CanadaCentre for Addiction and Mental Health
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Se examinó el efecto de las relaciones familiares, la espiritualidad y el entretenimiento sobre la relación entre la resistencia a la influencia de compañeros y el consumo de drogas entre estudiantes en una universidad en Manabí, Ecuador. Estudio con un diseño transversal, cuantitativo de tipo descriptivo (n=250). Se aplicó el Cuestionario Factores Socio-culturales y el Consumo de Drogas CICAD-CAMH 2011-2012. El 55.2% de la población manifestó haber consumido drogas legales (8.4% para las drogas ilegales) en los últimos doce meses y el 58.8% (9.6% para las drogas ilegales) en los últimos tres meses. Las drogas de mayor uso en los últimos 12 meses fueron el alcohol y el tabaco, con 52.8% y 24.4% respectivamente. El nivel de error de la muestra se fijó en el 0.01%. Se determinó que existe relación entre la influencia de compañeros y el consumo de drogas. Las relaciones familiares y la espiritualidad (con diferencias de género) son factores protectores.

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 score0.051
Threshold uncertainty score0.102

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 communication0.0010.001
Open science0.0000.001
Research integrity0.0000.000
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 head0.217
GPT teacher head0.425
Teacher spread0.208 · 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

Citations21
Published2015
Admission routes2
Has abstractyes

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