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Record W154101799

Redução da contribuição previdenciária sobre a folha de pagamento e equilíbrio financeiro e atuarial da previdência

2012· other· pt· W154101799 on OpenAlexaff
Renata Baars

Bibliographic record

VenueBiblioteca Digital (Câmara dos Deputados) · 2012
Typeother
Languagept
FieldArts and Humanities
TopicHermeneutics and Narrative Identity
Canadian institutionsDiscovery Air (Canada)
Fundersnot available
KeywordsEconomics
DOInot available

Abstract

fetched live from OpenAlex

O presente artigo trata da proposta de redução da contribuição previdenciária sobre a folha de pagamentos anunciada pelo Poder Executivo, alertando para os efeitos que tal medida possa acarretar para o equilíbrio financeiro e atuarial do sistema previdenciário brasileiro.Embora se espere benefícios à economia do país com a redução pretendida, teme-se desequilíbrios nas contas da previdência social que, futuramente, sejam compensados com mudanças nas regras de acesso aos benefícios.Indaga-se, ainda, sobre eventual ajuste no fator previdenciário, que tem como uma de suas variáveis a alíquota de contribuição.Por fim, tem-se uma reflexão sobre qual o sistema de financiamento da previdência no Brasil: o de natureza contributiva com critérios atuariais ou um modelo baseado no financiamento por impostos gerais.

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)0.006
metaresearch head score (Gemma)0.028
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.022
Threshold uncertainty score0.073

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.028
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0040.006
Science and technology studies0.0060.010
Scholarly communication0.0150.007
Open science0.0010.005
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0220.001

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 head0.046
GPT teacher head0.275
Teacher spread0.229 · 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 designNot applicable
Domainnot available
GenreOther

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

Citations0
Published2012
Admission routes1
Has abstractno

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