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El control presidencial de la agenda legislativa en América Latina

2014· article· es· W2031656655 on OpenAlexfundno aff
Manoel Leonardo Santos, Aníbal Pérez‐Liñán, Mercedes García Montero

Bibliographic record

VenueRevista de ciencia política · 2014
Typearticle
Languagees
FieldSocial Sciences
TopicPublic Policy and Governance
Canadian institutionsnot available
FundersUniversidad Nacional Autónoma de MéxicoUniversity of California, San DiegoUniversity of TorontoCentro de Investigaciones SociológicasUniversity of CambridgeCenter for U.S.-Mexican Studies, University of California, San DiegoUniversity of Chicago
KeywordsPolitical scienceHumanitiesPhilosophy

Abstract

fetched live from OpenAlex

Este trabajo analiza bajo qué condiciones los presidentes logran dominar la agenda legislativa.Para abordar esta cuestión analizamos los períodos gubernamentales de 30 presidentes latinoamericanos, desarrollando un análisis cualitativo comparativo (QCA).El análisis destaca que la combinación de un diseño institucional favorable y una división del Congreso en bloques ideológicos diferenciados favorece al poder ejecutivo.Otras dos condiciones, la existencia de una mayoría parlamentaria afín y la ausencia de fragmentación partidaria, se combinan con los elementos anteriores para garantizar el predominio del ejecutivo.Las conclusiones de este estudio comparativo son confirmadas por un análisis estadístico complementario.

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)0.008
metaresearch head score (Gemma)0.016
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 score0.066
Threshold uncertainty score0.132

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.003
Science and technology studies0.0030.004
Scholarly communication0.0070.002
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0090.001

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 head0.011
GPT teacher head0.328
Teacher spread0.317 · 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

Citations33
Published2014
Admission routes1
Has abstractyes

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