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Consumo de drogas entre estudantes universitários: família, espiritualidade e entretenimento moderando a influência dos pares

2015· article· pt· W2303759915 on OpenAlexaff
Maria Terezinha Zeferino, Halley Hamilton, Bruna Brands, Maria da Glória Miotto Wright, Francisco Cumsille, Akwatu Khenti

Bibliographic record

VenueTexto & Contexto - Enfermagem · 2015
Typearticle
Languagept
FieldSocial Sciences
TopicYouth, Drugs, and Violence
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsHumanitiesPsychologyArt

Abstract

fetched live from OpenAlex

pesquisa quantitativa, descritiva e exploratória, com desenho transversal que investigou o papel da família, da espiritualidade e do entretenimento em moderar a relação da influência dos pares sobre o consumo de drogas entre estudantes universitários. A amostra foi composta por 250 estudantes de uma universidade pública brasileira de forma não probabilística. Foi elaborado um questionário com cinco escalas validadas que indagaram sobre a influência do grupo de pares, as relações familiares, o entretenimento, a espiritualidade e o consumo de drogas. Utilizou-se o programa SPSS versão 18 para a análise estatística. Verificou-se que 90,8% dos estudantes da amostra tinham pelo menos um amigo consumidor de drogas, e as mais consumidas foram álcool, tabaco e maconha. Estabeleceu-se associação significativa entre alguns fatores acadêmicos e culturais com o consumo de drogas lícitas e ilícitas. Recomenda-se a elaboração de estratégias preventivas, considerando a influência dos fatores culturais sobre o consumo de drogas entre os estudantes universitários.

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)0.004
metaresearch head score (Gemma)0.017
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 score0.017
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.017
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.000

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 head0.412
GPT teacher head0.457
Teacher spread0.045 · 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

Citations41
Published2015
Admission routes1
Has abstractyes

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