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Record W3091207186 · doi:10.18682/cdc.vi112.4097

A las puertas de la Casa Rosada. La construcción del mundo imaginal kirchnerista (2003-2019)

2020· article· es· W3091207186 on OpenAlexaff
Mariano Dagatti

Bibliographic record

VenueCuadernos del Centro de Estudios de Diseño y Comunicación · 2020
Typearticle
Languagees
FieldSocial Sciences
TopicLatin American socio-political dynamics
Canadian institutionsCentre Casa
Fundersnot available
KeywordsHumanitiesArtPolitical science

Abstract

fetched live from OpenAlex

La política envuelve todos los sentidos: escuchamos, vemos, leemos discursos políticos, participamos en rituales políticos, asistimos a movilizaciones y protestas, recibimos la visita de un dirigente, seguimos las cuentas de líderes en las redes sociales digitales. Símbolos, imágenes, rituales participan de los mundos imaginales que las distintas fuerzas políticas pretenden desplegar como espacio de incorporación. Este artículo realiza una interpretación del mundo éthico del Frente de Todos en las elecciones nacionales de 2019. Para ello, recorre las lógicas imaginarias que el kirchnerismo desplegó desde su llegada al Poder Ejecutivo Nacional en 2003. Una hipótesis guía este texto: el mundo imaginal del actual gobierno representa una mutación respecto de aquel de la última década kirchnerista. Su fundamento es la recuperación de memorias asociadas con la cultura democrática y con la capacidad de gestión, memorias de valores y experiencias que la propia fuerza había impulsado en su origen y que después dejó progresivamente de lado.

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)0.004
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: none
Teacher disagreement score0.096
Threshold uncertainty score0.192

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0100.009
Scholarly communication0.0090.005
Open science0.0010.005
Research integrity0.0030.007
Insufficient payload (model declined to judge)0.0180.003

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 head0.012
GPT teacher head0.302
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 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

Citations1
Published2020
Admission routes1
Has abstractyes

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