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Record W2260734708 · doi:10.1111/roiw.12159

The Evolution of Gender and Racial Occupational Segregation Across Formal and Non‐Formal Labor Markets in<scp>B</scp>razil, 1987 to 2006

2014· article· en· W2260734708 on OpenAlex
Paola Salardi

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

VenueReview of Income and Wealth · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicUrban, Neighborhood, and Segregation Studies
Canadian institutionsUniversity of TorontoGlobal Affairs Canada
Fundersnot available
KeywordsOccupational segregationPeriod (music)Racial groupDemographic economicsRace (biology)PsychologyLabour economicsPolitical scienceSociologyEconomicsGender studiesWage

Abstract

fetched live from OpenAlex

This study provides a unique analysis of the evolution of gender and racial occupational segregation in B razil covering the period from 1987 to 2006. Employing a newly harmonized occupational classification, it provides new insights into the nature and evolution of occupational segregation and on the forces driving these changes over this period of time. Three major findings emerge. First, gender segregation is always greater than racial segregation, but the latter has been more persistent over time. Second, segregation has declined mainly in the formal labor market. Third, this decline has been mainly driven by changes in gender and racial composition within occupations.

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.168
Threshold uncertainty score0.461

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.015
GPT teacher head0.325
Teacher spread0.310 · 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