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Declaración de inconstitucionalidad, modulación de efectos y buena fe del Estado en Brasil

2019· article· es· W2931435201 on OpenAlexaff
Ana Paula Oliveira Ávila

Bibliographic record

VenueCuestiones Constitucionales Revista Mexicana de Derecho Constitucional · 2019
Typearticle
Languagees
FieldSocial Sciences
TopicBrazilian Legal Issues
Canadian institutionsOptech (Canada)
FundersUniversidad Nacional Autónoma de México
KeywordsHumanitiesPhilosophyPolitical science

Abstract

fetched live from OpenAlex

Este artículo presenta un estudio del régimen de modulación de efectos de los actos declarados inconstitucionales por el Tribunal Supremo Federal de Brasil, introducido por una ley innovadora en materia de control de constitucionalidad: la Ley 9868/99. La investigación utiliza la técnica de revisión bibliográfica, legislativa y jurisprudencial con los siguientes objetivos: a) demostrar que la naturaleza de la inconstitucionalidad (nulidad y anulabilidad) no impide reconocer efectos a las leyes inconstitucionales, incluso en los regímenes de control que adoptan el dogma de la nulidad del acto inconstitucional; b) proponer una teoría interpretativa de la modulación de efectos centrada en los derechos fundamentales y la dignidad humana, y c) responder, con base en el principio de la buena fe, si el Estado puede, en definitiva, beneficiarse del reconocimiento de efectos de leyes que lesionan derechos fundamentales del sujeto, tales como la libertad y el patrimonio.

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)0.003
metaresearch head score (Gemma)0.006
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.172
Threshold uncertainty score0.341

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.006
Scholarly communication0.0030.001
Open science0.0010.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.014
GPT teacher head0.301
Teacher spread0.287 · 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
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

Citations1
Published2019
Admission routes1
Has abstractyes

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