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Record W2801704771

Biennial of Moving Image. Geneva. 2016

2016· article· en· W2801704771 on OpenAlexaboutno aff
Andrea Bellini, Elvira Dyangani Ose, Caroline Bourgeois, Cecilia Alemani

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicCinema and Media Studies
Canadian institutionsnot available
Fundersnot available
KeywordsArtArt historyVisual artsMovie theaterHumanities
DOInot available

Abstract

fetched live from OpenAlex

Site specific projects for the Biennial with Moving Images with the following artists: Loulou Cherinet, Phoebe Boswell, Bodil Furu and Tracey Rose. The Biennale de l’Image en Mouvement 2016 is organized by the Centre d’Art Contemporain Geneve, in collaboration with the Fonds d’art contemporain de la Ville de Geneve (FMAC) and the Fonds cantonal d’art contemporain, Geneve (FCAC) and co-produced by Faena Art and In Between Art Film. November 2016 marks the 15th edition of the Biennale de l’Image en Mouvement (Biennale of Moving Images, BIM), presented under the artistic direction of Andrea Bellini, director of the Centre d’Art Contemporain Geneve, in collaboration with Cecilia Alemani, director and curator of High Line Art, New York; Caroline Bourgeois, chief curator and conservator of the Pinault Collection, Paris; and Elvira Dyangani Ose, curator and lecturer in visual cultures at Goldsmiths, University of London, and member of the Thought Council at the Fondazione Prada. The Biennale de l’Image en Mouvement 2016 will feature 27 new productions, produced and/or supported for the occasion and presented as installations (at the Centre d’Art Contemporain and the Mamco), performances (at the Theâtre de l’Usine (TU) and the Zoo de l’Usine), or feature films (presented with the artists at Cinema Spoutnik and then shown at the Cinema Dynamo). The 2016 edition of the Biennale de l’Image en Mouvement marks the return of the international competition, which was held during the first editions of the Biennale. BIM special projects: Generations is a prize aimed at encouraging young film directors studying in prestigious local and international art and cinema schools. The winner will receive a grant for the creation of a new work, which will be presented during the next edition of the Biennale. Finally, the new Biennale de l’Image en Mouvement is not a single exhibition. The 2014 edition traveled to several venues, including the Museum of Old and New Art, Tasmania, Australia, and the Teatrino Palazzo Grassi, Fondation Pinault, Venice. The BIM evolves from city to city, according to the format adopted to present the works (screening, exhibition of installations, etc.). BIM 2016 will be presented in several institutions and festivals on at least four continents: Teatrino Palazzo Grassi, Fondation Pinault, Venise : 14 – 16 November 2016 Schermo dell’arte, Florence : 16 – 19 November 2016 Faena Forum Miami Beach : preview 1 – 4 December 2016, exhibition Spring 2017) Tent, Rotterdam: 19 December 2016 – 1st January 2017 Galerie de l’UQAM, Montreal: 23 February – 8 April 2017 Faena Art Center Buenos Aires (in collaboration with Untref, Universidad Nacional Tres de Febrero, Buenos Aires) : Exhibition from 24 may 2017

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.715
Threshold uncertainty score0.407

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0010.001
Scholarly communication0.0080.005
Open science0.0010.005
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.7150.564

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 head0.022
GPT teacher head0.213
Teacher spread0.191 · 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.

Study designNot applicable
Domainnot available
GenreOther

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
Published2016
Admission routes1
Has abstractyes

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