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Record W4293491560 · doi:10.54747/ejhrv3n2-001

Atuação do serviço de saúde ocupacional da Cotesi em contexto de pandemia: plano de contingência

2022· article· pt· W4293491560 on OpenAlexaff
Liliana Marisa Almeida Ribeiro, Carla Celeste Silva Ribeiro Oliveira

Bibliographic record

VenueEuropub Journal of Health Research · 2022
Typearticle
Languagept
FieldSocial Sciences
TopicEducation during COVID-19 pandemic
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsHumanitiesPhysicsMedicinePhilosophy

Abstract

fetched live from OpenAlex

INTRODUÇÃO: A COTESI - Companhia de Têxteis Sintéticos, S.A, em Março de 2020, elaborou um Plano de Contingência que contem diversas medidas preventivas para fazer face ao surto epidémico da infeção por SARS-CoV-2, seguindo as orientações da DGS (Direção Geral de Saúde). Este Plano foi elaborado pela equipa de Segurança no Trabalho em colaboração com o Serviço de Saúde Ocupacional (SSO). OBJETIVO: Divulgar os resultados decorrentes da aplicação de um Plano de Contingência, elaborado no âmbito da prevenção da infeção pelo SARS-CoV-2, dirigido a trabalhadores de uma empresa têxtil. METODOLOGIA: Estudo de prevalência, descritivo e retrospetivo, reportado entre março de 2020 e fevereiro de 2021, realizado na COTESI na sequência da aplicação de um Plano de Contingência. RESULTADO: Num total de 770 trabalhadores, apenas 84 contraíram a infeção por SARS-CoV-2, e desses, 16 referiram que a infeção foi adquirida em meio laboral. CONCLUSÃO: Diante dos resultados, pôde-se verificar que a implementação de um Plano de Contingência foi eficaz na prevenção da propagação da infeção.

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)0.003
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.102
Threshold uncertainty score0.203

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0020.003
Scholarly communication0.0030.002
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.000

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 head0.443
GPT teacher head0.567
Teacher spread0.124 · 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 designNot applicable
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".

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Citations0
Published2022
Admission routes1
Has abstractyes

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