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Record W4388462046 · doi:10.55905/rcssv12n6-027

Qualidade de Vida no Trabalho (QVT): estudo com servidores do INSS em Petrolina-PE

2023· article· pt· W4388462046 on OpenAlex
Carolina dos Anjos Obata Teixeira, Iracema Mayara Jambeiro Brandão Engelhardt

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

VenueRevista Caribeña de Ciencias Sociales · 2023
Typearticle
Languagept
FieldHealth Professions
TopicOccupational Health and Burnout
Canadian institutionsDalsa Corporation
Fundersnot available
KeywordsQuality (philosophy)Physics

Abstract

fetched live from OpenAlex

No serviço público brasileiro, o exame da QVT e da e-QVT (teletrabalho), tem sido fundamental para promover práticas sustentáveis de bem-estar e saúde dos trabalhadores, melhorando assim a eficiência e produtividade institucional. O presente estudo objetiva analisar as dimensões da QVT através da percepção dos servidores do INSS em Petrolina-PE. A pesquisa empírica, baseou-se em diversos conceitos e modelos da QVT e e-QVT, destacando os abordados por Ferreira (2011) e Pantoja et al. (2021). Foi adotada a metodologia de pesquisa documental, com a comparação dos dados encontrados nos estudos selecionados, que foram classificados em críticos, moderados e satisfatórios. Com os resultados obtidos, foi possível organizar um panorama evolutivo da saúde e qualidade de vida no trabalho (SQVT) do período de 2018 a 2021. Este estudo, auxiliará a instituição na construção de estratégias e ações focadas em minimizar os fatores de mal-estar no trabalho, de forma mais direcionada e eficiente.

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)0.007
metaresearch head score (Gemma)0.003
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 categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.149
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.003
Science and technology studies0.0040.001
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.004

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 head0.110
GPT teacher head0.430
Teacher spread0.320 · 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