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Record W4410484665 · doi:10.46840/ec.2024.21.744

The Art of Forgetting: Reading the 1974 Venice Biennale

2024· article· en· W4410484665 on OpenAlexaff
Madeline Collins

Bibliographic record

VenueEconomía Creativa · 2024
Typearticle
Languageen
FieldArts and Humanities
TopicPhotography and Visual Culture
Canadian institutionsOntario College of Art and Design
Fundersnot available
KeywordsForgettingReading (process)ArtVisual artsLinguisticsPhilosophy

Abstract

fetched live from OpenAlex

Since its conception in 1895, the Venice Biennale’s origins have been rooted in imperialism, promoting nation-building, accumulation of capital, and colonial ideals of difference through international separation. However, in 1974, a wrench was thrown in the Biennale’s traditional approach. Rather than the usual spectacle of international pavilions, the Biennale took a surprising step in an anti-establishment direction by publicly forging solidarity with the Chilean people, who were undergoing a fascist coup. It has never returned to this level of activism since. Where did this spark come from, and why did it wane so quickly? Why does this iteration of the Biennale go unmentioned in art history classes and museum retrospectives, when it was in fact an extraordinary instance of transnational solidarity that could be mirrored today? This article analyzes the content and critical reception of the 1974 Biennale, and evaluates its complicated historical contexts of Italian social upheaval, nationalist desires for European hegemony, and the plans of the Italian Communist Party. Ultimately, it finds that the 1974 edition may be deliberately ignored as a way to preserve the Biennale’s self-image, as it exposes the Biennale’s backward step in progressive politics.

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)0.003
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 score0.027
Threshold uncertainty score0.057

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0130.026
Scholarly communication0.0080.004
Open science0.0010.003
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0050.001

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 head0.026
GPT teacher head0.253
Teacher spread0.227 · 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
Published2024
Admission routes1
Has abstractyes

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