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Record W3121817290

Constitutional Reform in Brazil: Lessons from Albania?

2017· article· en· W3121817290 on OpenAlexaff
Richard Albert, Juliano Zaiden Benvindo, Klodian Rado, Fabian Zhilla

Bibliographic record

VenueDialnet (Universidad de la Rioja) · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicCorruption and Economic Development
Canadian institutionsYork University
Fundersnot available
KeywordsTransparency (behavior)DemocracyLanguage changePolitical sciencePresidential systemAccountabilityConstitutionJudicial reformRule of lawJudicial reviewJudicial independencePublic administrationLawPolitical economyEconomicsPolitics
DOInot available

Abstract

fetched live from OpenAlex

Abstract Corruption is a fact of public life in Brazil. Since the country's transition to democracy, corruption has been a challenge for each presidential administration. The Brazilian judiciary has not escaped the corrupting influences in the region. One country whose challenges with judicial corruption are arguably even greater than Brazil's is Albania, a country for which we were appointed to act as Consultants to the Special Parliamentary Committee on the Reform of the Judicial System responsible for introducing major constitutional reforms aimed at curbing judicial corruption. Those reforms to the Albanian Constitution entered into force in 2016. Too little time has elapsed since then to evaluate whether these reforms will fulfill their purposes. And certainly much too little time has passed for us to know whether the reforms in Albania can be applied with any confidence elsewhere in the world where similar problems with judicial corruption continue to undermine democratic norms of transparency and accountability, namely in Brazil. We nonetheless believe it is useful to explain the Albanian constitutional reforms and to introduce them to readers in Brazil as available options for combating judicial corruption.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.901
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.028
GPT teacher head0.318
Teacher spread0.291 · 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 teacher head, not a consensus.

Study designTheoretical or conceptual
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
Published2017
Admission routes1
Has abstractyes

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