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Record W2753948470 · doi:10.5902/1414650925546

DIFERENCIAIS SALARIAIS: EVIDÊNCIAS PARA OS EMIGRANTES DO AGRESTE PERNAMBUCANO

2017· article· pt· W2753948470 on OpenAlexaff
Marina Monteiro, Roberta de Moraes Rocha

Bibliographic record

VenueEconomia e Desenvolvimento · 2017
Typearticle
Languagept
FieldSocial Sciences
TopicMigration, Racism, and Human Rights
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsPhysicsHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

A reorganização espacial das atividades produtivas, sobretudo no interior dos estados brasileiros, faz crescer continuamente os questionamentos sobre como os fluxos migratórios podem acentuar ou atenuar as disparidades de renda e promover uma melhora no padrão de vida do trabalhador. Em vista de tal fato, o presente estudo objetiva analisar a relação entre duas variáveis – migração e diferenciais salariais – considerando aqueles trabalhadores que emigraram do Agreste de Pernambuco, mesorregião que constitui atualmente um importante APL têxtil e de confecções do Norte/Nordeste. Para tanto, foram estimadas equações mincerianas, por MQO e Efeitos Fixos, a partir da base de dados longitudinais da RAISMIGRA-Mte para o intervalo de1995 a2008. Os resultados apontaram que os trabalhadores que emigraram do Agreste Pernambucano obtiveram ganhos salariais, contudo tais ganhos se reduzem quando se incluem no modelo as características observáveis e não observáveis do trabalhador.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.402
Threshold uncertainty score0.799

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.078
GPT teacher head0.344
Teacher spread0.265 · 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 designObservational
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
Published2017
Admission routes1
Has abstractyes

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