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Record W2009773932 · doi:10.7195/ri14.v13i1.713

NO-DO: Archivo y secuestro de la imaginación

2015· article· es· W2009773932 on OpenAlexaff
Enrique Fibla-Gutiérrez

Bibliographic record

VenueRevista ICONO14 · 2015
Typearticle
Languagees
FieldArts and Humanities
TopicPhotographic and Visual Arts
Canadian institutionsConcordia University
Fundersnot available
KeywordsHumanitiesArt

Abstract

fetched live from OpenAlex

Este artículo postula la necesidad de una nueva concepción de lo público digital en lo que a archivos audiovisuales se refiere. En lugar de pensar únicamente en la cuestión del acceso, se plantea también la inclusión del uso creativo del archivo como condición indispensable para la participación ciudadana en la institución del imaginario colectivo.Como objeto de estudio se ha escogido el NO-DO, pieza fundamental para entender la relación entre poder e imaginario en la sociedad española. El hecho de que se permita su visualización por streaming, pero no su libre descarga plantea una serie de interrogantes sobre lo público digital y la relación entre poder y archivo hoy, cuestiones que serán desgranadas a lo largo del artículo, aportando ejemplos de qué sucede cuando el archivo permite lo que Cornelius Castoriadis llamó "El imaginario radical instituyente".

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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.017
Threshold uncertainty score0.057

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0070.029
Scholarly communication0.0170.013
Open science0.0010.008
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0170.002

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 head0.026
GPT teacher head0.298
Teacher spread0.271 · 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

Citations3
Published2015
Admission routes1
Has abstractyes

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