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VIOLÊNCIAS NO AMBIENTE DE TRABALHO: PONDERAÇÕES TEÓRICAS

2018· article· pt· W2900492585 on OpenAlex
Juliana Moro Bueno Mendonça, Marcus Vinícius Soares Siqueira, Marcelo Augusto Finazzi Santos, Cíntia Rodrigues de Oliveira Medeiros

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

VenuePsicologia & Sociedade · 2018
Typearticle
Languagept
FieldSocial Sciences
TopicWorkplace Violence and Bullying
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsSociology

Abstract

fetched live from OpenAlex

Resumo Neste artigo teórico, tem-se como objetivo analisar as diferenças e possíveis sobreposições conceituais a respeito de tipologias de violências no trabalho, as quais são cada vez mais sutis. A reflexão crítica sobre o trabalho de Hershcovis (2011) nos instigou a pensar nas diferenciações entre as tipologias de violência, visando sua compreensão a partir de modelos que se aproximam de uma visão mais complexa e realística das interações sociais (Andersson & Pearson, 1999; Cortina, Kabat-Farr, Magley, & Nelson, 2017; Leymann, 1996; Vasconcelos, 2015). Os principais resultados consistem na identificação de dois riscos potenciais para a compreensão do tema: (a) a aglutinação dos conceitos, o que prejudica avanços teóricos e tratamentos específicos no trabalho; e (b) o isolamento dos tipos em silos, o que contribui para a perda de avanços alcançados em outros domínios. Ainda, postula-se a necessidade de vislumbrar as diversas tipologias de violências em um continuum conforme o contexto social.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient 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 score0.150
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0030.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.006

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 head0.048
GPT teacher head0.351
Teacher spread0.303 · 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