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Record W7163609456

La pantalla dividida, composición y descomposición visual. Film y espacio, Montreal, 1967 (The Divided Screen, Composition and Visual Decomposition. Film and Space, Montreal, 1967)

2018· article· W7163609456 on OpenAlexaboutno aff
Sofía Quiroga Fernández

Bibliographic record

VenueFigshare · 2018
Typearticle
Language
FieldArts and Humanities
TopicCinema History and Criticism
Canadian institutionsnot available
Fundersnot available
KeywordsExhibitionSpace (punctuation)Composition (language)Relation (database)
DOInot available

Abstract

fetched live from OpenAlex

La Exposición Universal de Montreal de 1967 representa uno de los entornos experimentales más importante del siglo en cuanto a los medios de comunicación, distinguiéndose respecto a los anteriores por su particular uso de las tecnologías audiovisuales, la reivindicación de las pantallas y las nuevas tipologías teatrales desarrolladas para dar cabida a nuevas formas de proyección. El presente artículo explora algunas de las propuestas desarrolladas en Montreal, donde espacio y tecnología trabajan de manera conjunta en pos de una experiencia total. The 1967 Montreal Universal Exhibition represents one of the most important experimental environment of the century to media, distinguishing itself from the earlier ones due to its particular use of screens and audiovisual technologies, as well as the new theatrical typologies developed to fit with the new ways of projection. This article explores some of the proposals developed in Montreal, where space and technology worked together looking for a total experience.

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)0.002
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 score0.430
Threshold uncertainty score0.865

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.003
Science and technology studies0.0040.013
Scholarly communication0.0060.003
Open science0.0010.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0190.001

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 head0.021
GPT teacher head0.267
Teacher spread0.246 · 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

Citations0
Published2018
Admission routes1
Has abstractyes

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