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Record W1995819992 · doi:10.14198/obets2010.5.2.07

La aplicación del modelo espacial de la ideología al sistema de partidos alemán durante la reunificación (1983-1998)

2010· article· es· W1995819992 on OpenAlexaff
Antonio Alaminos

Bibliographic record

VenueOBETS Revista de Ciencias Sociales · 2010
Typearticle
Languagees
FieldSocial Sciences
TopicLatin American Urban Studies
Canadian institutionsInstitute of Particle Physics
Fundersnot available
KeywordsHumanitiesPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

El Modelo Espacial Ideológico especificado por Hinich and Munger (1994), se ofrece como un desarrollo dentro de la Teoría Espacial del Voto que permite simplificar el análisis multidimensional del comportamiento electoral. Empleamos aquí el modelo espacial de la ideología como instrumento de medición de la percepción del sistema de partidos de los ciudadanos alemanes. El modelo estadístico empleado parte de las concepciones teóricas de Almond y Verba (1970) y demuestra sensibilidad a las diferencias de cultura política en la sociedad alemana. El modelo permite estimar empiricamente una aproximación al concepto de elasticidad del espacio ideológico (Sartori, 1976).

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)0.003
metaresearch head score (Gemma)0.007
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: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.060
Threshold uncertainty score0.120

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0020.003
Science and technology studies0.0010.001
Scholarly communication0.0040.002
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0200.002

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 head0.024
GPT teacher head0.335
Teacher spread0.311 · 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

Citations2
Published2010
Admission routes1
Has abstractyes

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Same venueOBETS Revista de Ciencias SocialesSame topicLatin American Urban StudiesFrench-language works237,207