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Tributação como Instrumento de Regulação Econômica e Indução do Desenvolvimento Humano

2023· article· pt· W4402169991 on OpenAlex

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

VenueRevista de Direito Tributário Atual · 2023
Typearticle
Languagept
FieldSocial Sciences
TopicBrazilian Legal Issues
Canadian institutionsCanadian Anesthesia Research Foundation
Fundersnot available
KeywordsPhilosophy

Abstract

fetched live from OpenAlex

Este artigo tem como objetivo explorar o uso da tributação como uma ferramenta para regular a economia e, simultaneamente, impulsionar o crescimento econômico e promover o desenvolvimento humano. Será realizada análise comparativa dos dados fiscais e sociais do Brasil em relação a outros países avaliados pela Cepal e pelo PNUD. Para isso, serão examinados os resultados do crescimento do Produto Interno Bruto, a arrecadação de tributos federais e o Índice de Desenvolvimento Humano. O intuito é verificar em que medida os direitos sociais são promovidos na realidade brasileira. Ao final, serão analisadas as políticas públicas atuais em relação aos números macroeconômicos e será verificado se os comandos constitucionais que asseguram um patamar mínimo civilizatório são efetivamente implementados pelas propostas de governança. Utilizam-se recursos de pesquisa bibliográfica e dados oficiais dos países da América Latina e Caribe, abrangendo os aspectos fiscais e sociais dos respectivos governos centrais.

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)0.007
metaresearch head score (Gemma)0.002
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 categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.382
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.004
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.006

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 head0.051
GPT teacher head0.356
Teacher spread0.305 · 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