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Associação entre depressão, estresse, ansiedade e uso de álcool entre servidores públicos

2015· article· pt· W1866942180 on OpenAlex

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) · 2015
Typearticle
Languagept
FieldHealth Professions
TopicOccupational Health and Burnout
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsAnxietyDepression (economics)Mental stressDepressive symptomsPhysical activityPsychological stress

Abstract

fetched live from OpenAlex

OBJETIVO: identificar a associação de sintomatologia depressiva com variáveis sociodemográficas, exposição e dimensões do estresse ocupacional. MATERIAL E MÉTODO: trata-se de estudo transversal, com 1.239 trabalhadores da categoria técnico-administrativa de uma universidade pública do interior do Estado de São Paulo. Foram avaliadas questões sociodemográficas, sintomatologia depressiva e ansiosa, uso problemático de álcool e estresse no trabalho. RESULTADOS: os servidores públicos relataram trabalhar sob baixa demanda psicológica e alto controle sobre o trabalho executado, além de atuar com baixa exigência. Cerca um quinto dos trabalhadores apresentou sintomatologia ansiosa e/ou depressiva e 13,2% preencheram critérios para uso problemático de álcool. CONCLUSÃO: os achados deste estudo indicam aspectos relevantes a serem enfocados por planos e estudos de intervenção, para prevenir o adoecimento mental dos trabalhadores, principalmente relacionado à sintomatologia depressiva.

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)0.005
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.304
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.002
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0010.002
Science and technology studies0.0030.001
Scholarly communication0.0010.001
Open science0.0030.002
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0060.005

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 head0.060
GPT teacher head0.383
Teacher spread0.323 · 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