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PSICODINÂMICA DO TRABALHO E SUA IMPLICÂNCIA NA SAÚDE DO TRABALHADOR: CONTEXTO DA REFORMA TRABALHISTA

2023· article· pt· W4381248151 on OpenAlexaff
Marcel Pereira Pordeus, Caio Leonam Vieira Pordeus, Francisca Alynne Ribeiro Rolim, Katianne Jamilia Oliveira Nunes, Eduardo Diniz Sousa e Silva, Adriana Muniz Araújo, Marijane Serpa Do Amaral, Sidrack Rack Moraes Alves

Bibliographic record

VenueRevista Foco · 2023
Typearticle
Languagept
FieldSocial Sciences
TopicEducation and Work Dynamics
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

Este artigo demonstra como os mecanismos de defesa propostos pela psicodinâmica do trabalho de Christophe Dejours (2004) refletem no trabalhador frente às situações causadoras de adoecimento psíquico dentro do trabalho. Dessa forma, este trabalho tem por objetivo basilar discutir sobre a nova reforma da Consolidação das Leis do Trabalho (CLT) e as possíveis implicações para o adoecimento psíquico e físico do trabalhador, a partir do referencial teórico de Christophe Dejours (1992, 1994, 2004). Para tal, iniciamos nossa discussão pela história do trabalho, buscando compreender a sua importância para a saúde e a identidade do trabalhador. Para desenvolver este artigo, utilizamos do método de pesquisa bibliográfica, a partir do levantamento de teorias já analisadas e publicadas por meio de escritos eletrônicos, como livros, artigos científicos e sites especializados. Concluímos haver a existência de um processo de precarização do trabalho, na qual temos que conviver com a perda das garantias trabalhistas, direitos adquiridos, conquistas que protegiam não só socialmente, mas psiquicamente as pessoas.

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)0.010
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.062
Threshold uncertainty score0.136

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.004
Science and technology studies0.0120.037
Scholarly communication0.0140.007
Open science0.0020.009
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0090.001

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 head0.088
GPT teacher head0.406
Teacher spread0.317 · 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 designQualitative
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

Citations19
Published2023
Admission routes1
Has abstractyes

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