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Record W4396592607 · doi:10.55905/oelv22n5-003

Política nacional de saúde do trabalhador e da trabalhadora e a relação entre saúde do trabalhador e a estratégia de saúde a família

2024· article· pt· W4396592607 on OpenAlexaff
Eli Fernanda Brandão Lopes, Alcindo Antônio Ferla

Bibliographic record

VenueOBSERVATÓRIO DE LA ECONOMÍA LATINOAMERICANA · 2024
Typearticle
Languagept
FieldHealth Professions
TopicOccupational Health and Burnout
Canadian institutionsContinental (Canada)
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

A saúde, de acordo com a Constituição Federal, é direito de todos e dever do Estado. São atribuições do sistema único de saúde (SUS) executar as ações de vigilância sanitária e epidemiológica, bem como as de saúde do trabalhador e colaborar na proteção do meio ambiente, nele compreendido o do trabalho. A Política Nacional de Saúde do Trabalhador e da Trabalhadora (PNSTT) e a Rede Nacional de Atenção Integral à Saúde do Trabalhador (RENAST) buscam a intervenção nas relações entre trabalho considerando o processo saúde-doença para garantir melhor qualidade de saúde ao trabalhador. A saúde do trabalhador precisa ser fomentada na Estratégia de Saúde da Família uma vez que ela é porta de entrada do trabalhador e obrigatoriamente notificadora dos agravos de saúde do trabalhador. Sendo que com estas notificações as autoridades sanitárias poderão tomar medidas para seu esgotamento ou contenção. A PNSTT a RENAST representam uma principal estratégia da organização da saúde do trabalhador no sistema único de saúde.

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)0.005
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: none
Teacher disagreement score0.094
Threshold uncertainty score0.187

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.002
Science and technology studies0.0050.003
Scholarly communication0.0050.002
Open science0.0010.004
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0130.002

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 head0.372
Teacher spread0.330 · 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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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