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A implementação do programa Bolsa Família: as experiências de São Francisco de Itabapoana e Duque de Caxias

2007· article· pt· W1997331122 on OpenAlexaff
Rosana Magalhães, Luciene Burlandy, Monica de Castro Maria Senna, Vanessa Schottz, Graziela Scalercio

Bibliographic record

VenueCiência & Saúde Coletiva · 2007
Typearticle
Languagept
FieldSocial Sciences
TopicPoverty, Education, and Child Welfare
Canadian institutionsNutrasource
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

This paper discuss the findings of a study examining the Implementation of Brazil's Family Allowance Program in Rio de Janeiro at São Francisco de Itabapoana and Duque de Caxias, conducted in 2004 - 2005 with the support of the Brazilian Science and Technology Research and Development Council (CNPq) and collaboration among ENSP-FIOCRUZ, UFF and UERJ. Its purpose is to analyze this implementation process and local management practices, identifying the main contours of this program. An examination of its political and institutional dynamics, accountability mechanisms, intersectoral arenas, investments in healthcare and education, and intergovernmental arrangements helps outline some of the conflicts, tensions and challenges associated with conditional cash transfers as a core policy in the battle against poverty and social inequalities.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.578
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.002
Science and technology studies0.0030.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.021
GPT teacher head0.335
Teacher spread0.314 · 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 teacher head, not a consensus.

Study designNot applicable
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

Citations12
Published2007
Admission routes1
Has abstractyes

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