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Federalismo y democracia

2006· article· es· W2130081002 on OpenAlexaffabout
Jean-François Gaudreault-DesBiens

Bibliographic record

VenueBoletín Mexicano de Derecho Comparado · 2006
Typearticle
Languagees
FieldSocial Sciences
TopicComparative constitutional jurisprudence studies
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsPolitical science

Abstract

fetched live from OpenAlex

Número 117Septiembre - Diciembre 2006ISSN 0041 8633 FEDERALISMO Y DEMOCRACIA Jean-François GAUDREAULT-DESBIENS * Con base en la experiencia canadiense, el autor desarrolla en este artículo una reflexión acerca de la relación existente entre federalismo y democracia. Después de una breve descripción de las principales características del régimen constitucional canadiense, el autor enfoca su atención en dichos conceptos, con el propósito de identificar los valores que pueden ser fomentados por el federalismo. Posteriormente, identifica algunos obstáculos políticos que pudieran impedir la evolución de un sistema federal. Palabras clave: federalismo, democracia, Constitución. * Profesor de la Facultad de Derecho de la Universidad de Toronto, Canadá. Este artículo fue preparado para el congreso internacional "El orden jurídico de la consolidación democrática", México, D. F., 4 y 5 de octubre de 2004. El autor agradece a la licenciada Gabriela Quintanilla Mendoza por la traducción de la versión original inglesa de este artículo. * Nota: Debido que la traducción es automática podrá ser inexacta o contener errores.

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)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
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 score0.283
Threshold uncertainty score0.948

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.003
Science and technology studies0.0020.002
Scholarly communication0.0070.003
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.2830.057

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 head0.020
GPT teacher head0.338
Teacher spread0.318 · 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 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

Citations7
Published2006
Admission routes2
Has abstractyes

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