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Record W2795483474

Investimentos de Capital, Custo Tributário e Competitividade: O Caso do Setor Siderúrgico Brasileiro

2006· article· pt· W2795483474 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueAnais do Congresso Brasileiro de Custos - ABC · 2006
Typearticle
Languagept
FieldDecision Sciences
TopicBusiness and Management Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPolitical scienceWelfare economicsEconomicsBusiness
DOInot available

Abstract

fetched live from OpenAlex

Este artigo tem como objetivo o estudo do impacto do custo tributario incidente sobre o investimento destinado a expansao de uma planta siderurgica no Brasil, comparada com a carga tributaria que ocorreria caso tal investimento fosse realizado em outros paises alternativos, ou seja, EUA, Canada e Chile. O estudo e desenvolvido no contexto do reconhecimento de que determinados eventos que provocam efeitos no nivel de competitividade das empresas estao fora do seu âmbito de acao. Entre tais eventos considera-se neste estudo a carga tributaria, elemento integrante do conjunto de politicas macroeconomicas governamentais. No desenvolvimento do estudo utilizou-se a metodologia do estudo de caso multiplo, por meio do qual mensurou-se o custo tributario incidente sobre o investimento planejado, respeitada a legislacao vigente em cada um dos paises pesquisados. O resultado do estudo permite concluir que dos quatro paises considerados e o que apresenta o maior custo tributario, com diferenca significativa em relacao aos demais paises, os quais propiciam um incentivo fiscal haja vista a carga tributaria negativa. Dentre os outros tres paises analisados, os que mais favorecem as empresas a serem competitivas sao, pela ordem, Chile, EUA e Canada.

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)0.004
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.224
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.002
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0020.003
Science and technology studies0.0020.002
Scholarly communication0.0040.002
Open science0.0030.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.003

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 head0.048
GPT teacher head0.330
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