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Record W4389891150 · doi:10.38056/2023aiccxxx604

Puentes virtuales y formas expresivas mediatizadas

2023· article· es· W4389891150 on OpenAlexaboutno aff
Yolanda Montejano Hernández

Bibliographic record

VenueAnuario de Investigación de la Comunicación CONEICC · 2023
Typearticle
Languagees
FieldSocial Sciences
TopicCommunication and COVID-19 Impact
Canadian institutionsnot available
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

La conciencia del cuerpo como elemento creativo cobra un nuevo sentido con las formas de expresión mediatizadas que surgen en las últimas dos décadas, la incorporación de la realidad aumentada, los efectos a partir del 3D y 4D y la inclusión de tecnologías como complemento, que permiten al artista extender la experiencia, haciendo realidad el planteamiento de Marshal McLuhan (1996) sobre los medios como extensiones del hombre, lo que además involucra de manera distinta al público. Puentes virtuales que cruzan desde los creadores, los soportes y los públicos, donde se genera una dinámica distinta a partir de la convergencia tecnológica. Se recuperan elementos históricos sobre los procesos, a partir de las teorías de la danza, del cuerpo como elemento en el proceso creativo y la nueva ecología de los medios de comunicación; propuestas teóricas que surgen de los postulados del determinismo tecnológico que planteó McLuhan la última mitad del siglo pasado, retomados por la escuela de Toronto y necesarios para dimensionar el arte actual. A partir de conceptos que surgen en la esfera de la comunicación se explican formas de aproximación a la cultura, lo que permite acercar a los estudiantes de distintas disciplinas sociales a un área de especialidad poco socorrida, la comunicación del arte, con una conciencia de la evolución que existe en los procesos creativos y los montajes actuales, generando puentes entre disciplinas. Fecha de recepción: 25/05/2023Fecha de aceptación: 28/07/2023

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)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.026
Threshold uncertainty score0.086

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0020.002
Science and technology studies0.0040.010
Scholarly communication0.0130.010
Open science0.0010.008
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0260.003

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 head0.029
GPT teacher head0.377
Teacher spread0.348 · 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 designQualitative
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
Published2023
Admission routes1
Has abstractyes

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