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Trabalho infantil doméstico: perfil bio-sócio-econômico e configuração da atividade no município de João Pessoa, PB

2009· article· pt· W2012767156 on OpenAlexaboutno aff
Maria de Fátima Pereira Alberto, Denise Pereira dos Santos, Fernanda Moreira Leite, José Wilson de Lima, Gláucia Pereira da Paixão, Sebastião Alves da Silva

Bibliographic record

VenueCadernos de Psicologia Social do Trabalho · 2009
Typearticle
Languagept
FieldSocial Sciences
TopicPoverty, Education, and Child Welfare
Canadian institutionsnot available
Fundersnot available
KeywordsEthnic groupQuarter (Canadian coin)Child carePhysical activityPaid workSociologyDescendantPsychologyHumanitiesDemographyGeographyWorking hoursEconomicsMedicineArtLabour economics

Abstract

fetched live from OpenAlex

The paper reports on a research that aimed to characterize the activity of domestic child labour, in the city of João Pessoa, Brazil, with child and adolescents who study in municipal and state public school. The research had the participation of 100 subjects from both sexes, with ages between 7 and 18 years old. It used two instruments: the first identified if the child or the adolescent were workers, and the second was a questionnaire composed by open and closed questions, that contemplate, among others, aspects like socio-economic profile and activity. To analyze data, it was used descriptive statistics and the software SPSS. Results reveal that 34% were between 10 and 14 years old, and 25% between 15 and 16 years old. It was verified in concerning of gender (73% are girls), race/ethnicity (67% are afro-descendant) and social class (to 37%, familiar income was a quarter of minimum wage). 30% worked in shift, exercise from 9 to 15 work hours per day. They make domestic work, followed by taking care of people. The activity was configured as exploiter, naturalized, and invisible, and still demanded physical effort and stole leisure necessary to development.

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 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, Scholarly communication, Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.490
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.001
Science and technology studies0.0050.002
Scholarly communication0.0010.001
Open science0.0030.000
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0040.001

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 head0.032
GPT teacher head0.314
Teacher spread0.283 · 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; both teacher heads agree on what is shown here.

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

Citations7
Published2009
Admission routes1
Has abstractyes

Explore more

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