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Record W2566339394 · doi:10.15210/norus.v4i5.9037

Economia e política da transição democrática no Brasil: uma análise dos governos FHC, Lula e Dilma

2016· article· pt· W2566339394 on OpenAlexaff
José Carlos Martines Belieiro

Bibliographic record

VenueNovos Rumos Sociológicos · 2016
Typearticle
Languagept
FieldEconomics, Econometrics and Finance
TopicEconomic Theory and Policy
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsPolitical science

Abstract

fetched live from OpenAlex

O objetivo principal do trabalho é contribuir aos estudos de economia e política nas ciências sociais, com foco de análise na transição democrática brasileira e no debate sobre a relação entre redemocratização política e crise econômica. O artigo se concentra na análise dos governos FHC, Lula e Dilma, buscando analisar aspectos políticos e econômicos dos três diferentes governos, como a política econômica, a questão da inflação, o papel do Estado na economia, estabilidade econômica e a crise final do governo Dilma, ocorrida em abril de 2016. O trabalho sugere que a crise final do governo Dilma e o impeachment representam um ponto de inflexão no processo de transição democrática e a uma crise nas promessas da Constituição de 1988. O trabalho foi elaborado especialmente para o seminário Transição Democrática: aspectos sociológicos e políticos, que ocorreu na UFPel em novembro de 2015.Palavras-Chave: Crise econômica e democracia; Economia e política da transição democrática; Governos FHC, Lula e Dilma.

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)0.002
metaresearch head score (Gemma)0.005
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.270
Threshold uncertainty score0.537

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.007
Science and technology studies0.0030.003
Scholarly communication0.0030.001
Open science0.0000.002
Research integrity0.0010.001
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 head0.033
GPT teacher head0.253
Teacher spread0.220 · 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

Citations3
Published2016
Admission routes1
Has abstractyes

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