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Record W4404169477 · doi:10.1163/15691330-bja10119

Resistance to Oppression in Informal Work

2024· article· en· W4404169477 on OpenAlexafffund
Jean François Mayer

Bibliographic record

VenueComparative Sociology · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicDigital Economy and Work Transformation
Canadian institutionsUniversité de MontréalConcordia University
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsOppressionResistance (ecology)Work (physics)SociologyPolitical scienceEngineeringLawPolitics

Abstract

fetched live from OpenAlex

Abstract This article takes the study of informal work and resistance to oppression in a new direction. The literature assumes that subaltern resistance is either collective, open, and occasional; or individual, covert, and habitual. The author argues that the reality is a complex mix of these responses, shaped by social power structures and legal frameworks. Based on ethnographic fieldwork with paid domestic workers in Brazil, Colombia, and Peru, the author demonstrates that worker resistance is principally individual and multifaceted, including overt and covert, as well as habitual and occasional strategies. In all cases, entrenched racist and patriarchal structures and behaviors as well as the making and implementing of labor law shape social understandings of the nature of remunerated domestic labor and choices of resistance strategies. In this context, collective rights claiming remains challenging.

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)0.006
metaresearch head score (Gemma)0.017
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 score0.008
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.017
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0060.036
Scholarly communication0.0080.003
Open science0.0010.010
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0050.000

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 head0.055
GPT teacher head0.361
Teacher spread0.306 · 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

Citations0
Published2024
Admission routes2
Has abstractyes

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