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Record W3127937558 · doi:10.1111/blar.13232

Resistance to Chronic Violence in Informal Workplaces: The Strategies of Domestic Workers in Brazil (2003–2018)

2021· article· en· W3127937558 on OpenAlexaff
Jean François Mayer

Bibliographic record

VenueBulletin of Latin American Research · 2021
Typearticle
Languageen
FieldHealth Professions
TopicEmployment and Welfare Studies
Canadian institutionsConcordia University
Fundersnot available
KeywordsNoticeResistance (ecology)NegotiationPleadingMigrant workersWork (physics)Domestic violenceBusinessCriminologyPolitical scienceHuman factors and ergonomicsSociologyPoison controlEconomic growthEconomicsMedicineLawEnvironmental healthEngineering

Abstract

fetched live from OpenAlex

This article analyses the repertoire of individual strategies utilised by domestic workers to resist routinised workplace violence in the cities of São Paulo and Ilhéus, Brazil. Findings suggest that domestic workers favour two strategies of resistance: exit (quitting work without prior notice) and voice (negotiating workplace conditions). The latter strategy is divided into two subtypes: voice‐pleading (appealing to decency) and voice‐confrontation (warning and rights‐claiming). Voice strategies appear more effective than exit in ameliorating patterns of chronic workplace violence, particularly when they incorporate labour rights claims and when emotional ties exist between workers and employers.

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)0.001
metaresearch head score (Gemma)0.003
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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.055
Threshold uncertainty score0.109

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.002
Scholarly communication0.0020.001
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.062
GPT teacher head0.450
Teacher spread0.388 · 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

Citations3
Published2021
Admission routes1
Has abstractyes

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