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Record W2140559950 · doi:10.1177/0010414006287895

Compared to What?

2006· article· en· W2140559950 on OpenAlexaff
Leslie Elliott Armijo, Philippe Faucher, Magdalena Dembińska

Bibliographic record

VenueComparative Political Studies · 2006
Typearticle
Languageen
FieldSocial Sciences
TopicPolitics and Society in Latin America
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsPoliticsLegislatureNegotiationRepresentativeness heuristicViewpointsDemocracyPolitical economyPolitical scienceCorporate governanceCollective actionFederalismSociologyEconomicsLaw

Abstract

fetched live from OpenAlex

A rich and plausible academic literature has delineated reasons to believe Brazil’s democratic political institutions—including electoral rules, the political party system, federalism, and the rules of legislative procedure—are suboptimal from the viewpoints of democratic representativeness and policy-making effectiveness. The authors concur that specific peculiarities of Brazilian political institutions likely complicate the process of solving societal collective action dilemmas. Nonetheless, Brazil’s economic and social track record since redemocratization in the mid-1980s has been reasonably good in comparative regional perspective. Perhaps Brazil’s informal political negotiating mechanisms, or even other less obvious institutional structures, provide sufficient countervailing influences to allow “governance” to proceed relatively smoothly despite the appearance of chaos and political dysfunction.

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)0.002
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.049
Threshold uncertainty score0.165

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0030.006
Scholarly communication0.0070.008
Open science0.0010.002
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0490.008

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 head0.176
GPT teacher head0.477
Teacher spread0.301 · 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 designObservational
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

Citations62
Published2006
Admission routes1
Has abstractyes

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