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Problematic alcohol and tobacco use among healthcare professionals

2016· article· pt· W2544428045 on OpenAlex
Emilene Reisdorfer, Carmem Regina Delziovo, Edilaine Cristina da Silva Gherardi‐Donato, Rodrigo Otávio Moretti-Pires

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueSMAD Revista Eletrônica Saúde Mental Álcool e Drogas (Edição em Português) · 2016
Typearticle
Languagept
FieldSocial Sciences
TopicYouth, Drugs, and Violence
Canadian institutionsCentre for Addiction and Mental Health
Fundersnot available
KeywordsHealth professionalsTobacco useHumanitiesPsychologyMedicineHealth careArtEnvironmental healthPolitical science

Abstract

fetched live from OpenAlex

O objetivo deste estudo foi descrever a prevalência e características do uso problemático de álcool e tabaco entre profissionais de saúde atuantes na Estratégia de Saúde da Família. Foi realizado um estudo transversal com profissionais de saúde do Alto Uruguai Catarinense, Santa Catarina, Brasil. As variáveis dependentes foram o uso problemático de álcool e o uso de tabaco e as variáveis independentes foram as características sociodemográficas, socioeconômicas e condições de saúde. Observou-se que 6,2% apresentavam uso problemático de álcool e 8,5% usavam tabaco. Torna-se essencial que os serviços de saúde estruturem políticas e ações específicas o desenvolvimento de estratégias de prevenção e tratamento específicos para este grupo de profissionais, aumentando a qualidade dos serviços prestados aos usuários neste nível de atenção

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.218
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0020.002
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.043
GPT teacher head0.336
Teacher spread0.293 · 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