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Record W6977394580 · doi:10.6084/m9.figshare.7841156

JUDICIALIZAÇÃO E ATIVISMO JUDICIAL EM PERSPECTIVA: UMA ANÁLISE A PARTIR DAS EXPERIÊNCIAS DAS SUPREMAS CORTES DO BRASIL E DO CANADÁ

2019· article· en· W6977394580 on OpenAlexaboutno aff

Bibliographic record

VenueFigshare · 2019
Typearticle
Languageen
FieldSocial Sciences
TopicJudicial and Constitutional Studies
Canadian institutionsnot available
Fundersnot available
KeywordsLegislationSupreme courtLegislatureJudicial activismScope (computer science)PortugueseJudicial opinionPower (physics)

Abstract

fetched live from OpenAlex

This research by scope analyzes the phenomena of judicialization and judicial activism from the experiences of the Supreme Court of Canada and the Brazilian Supreme Court. It has been observed that, in both countries, there has been, in the last decades, a continuous expansion of the authority of the Judiciary Power and its action in themes of a political nature hitherto addressed only by the Legislative and Executive Powers, which can be evidenced by from the analysis of the decisions of the Supreme Courts of both countries. Despite differences in constitutional architecture, both courts act as drivers of the process of expanding the power of their judicial structures. This article was developed from a bibliographic survey in articles obtained in different databases and indexers, published in full in Portuguese and English, accessed for free. Scientific journals were selected in the area of Constitutional Law Compared with high extracts, qualis A and B. It was also used data in official documents and relevant legislation with epistemological and scientific basis based on the contemporary theoretical construction of Fundamental Rights.

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)0.004
metaresearch head score (Gemma)0.011
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 score0.273
Threshold uncertainty score0.549

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.011
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.004
Science and technology studies0.0150.020
Scholarly communication0.0090.002
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.046
GPT teacher head0.330
Teacher spread0.284 · 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

Citations0
Published2019
Admission routes1
Has abstractyes

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