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Dialoguing on Miniature Cinema as New Art: Sheena Wilson with Midi Onodera

2010· article· en· W2003075585 on OpenAlexaffvenueabout
Sheena Wilson

Bibliographic record

VenueImaginations Journal of Cross-Cultural Image Studies · 2010
Typearticle
Languageen
FieldArts and Humanities
TopicArtistic and Creative Research
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMIDIMovie theaterArtComputer graphics (images)Computer scienceVisual arts

Abstract

fetched live from OpenAlex

MIDI ONODERA IS A WELL-RECOGNIZED Canadian filmmaker with more than thirty years of filmmaking experience. She has had screenings internationally at such prestigious venues as the Andy Warhol Museum, the International Festival of Documentary and Short Films, Bilbao, Spain, the Rotterdam International Film Festival, the Berlin International Film Festival, the National Gallery of Canada, and the Toronto International Film Festival. Her first film, a seven-minute short film entitled Reality-Illusion that she shot on Super Eight, appeared in 1979, while she was still in high school. She now has twenty-four films, two television-writing credits, two commissioned artist profiles, two feature length works, two interactive DVDs, 434 short videos, and a total of 467 films and videos to her name. As an acknowledgement of Midi Onodera's long and productive career as a Canadian artist and filmmaker who has consistently demonstrated critical engagement with her subjects and her chosen media, we have invited her to be the guest artist-filmmaker for the inaugural issue of Imaginations: Journal of Cross-Cultural Image Studies. In this dialogue-interview, she provides insight into the Vidoodles (video shorts) she created for this issue of the journal, and she discusses a number of related issues including various transformations that have taken place in technology and how that has impacted her creative production and her relationship with various media over the span of her career. Midi Onodera est une cinéaste canadienne reconnue cumulant plus de trente ans d'expérience. Ses œuvres ont été présentées dans des contextes internationaux prestigieux tels que le Andy Warhol Museum, le Festival international du documentaire et du court-métrage de Bilbao, le Festival international du film de Rotterdam, le Festival international du film de Berlin, Le Musée des beaux-Arts du Canada, et le Festival international du film de Toronto. Son premier film est un court-métrage de sept minutes intitulé Reality-Illusion ; tourné en format super 8, il a été présenté en 1979, alors qu'elle était encore étudiante à l'école secondaire. Elle a désormais à son actif vingt-quatre films, deux scripts pour la télévision, deux rétrospectives commanditées, deux long-métrages, deux DVD interactifs, 434 courts-métrages. Elle totalise 467 films et vidéos à son nom. En reconnaissance de la longue et fructueuse carrière de Midi Onodera comme artiste et réalisatrice canadienne ayant déployé une vision critique constante et originale sur le monde, Nous avons le plaisir de l'accueillir en tant qu'artiste invitée pour le numéro inaugural d'Imaginations : Revue d'Études Interculturelles de l'image. Dans ce dialogue-interview, Midi Onodera offre sa propre perspective sur les Vidoodles (courts-métrages vidéos) qu'elle a réalisés spécialement pour la revue. Elle s'intéresse également à un certain nombre de questions importantes liées à ceux-ci, incluant les mutations des supports technologiques et l'impact qu'elles ont produit sur son processus créatif et sur ses méthodes de travail tout au long de sa carrière.

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)0.005
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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.311
Threshold uncertainty score0.618

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0220.006
Scholarly communication0.0120.005
Open science0.0010.004
Research integrity0.0010.004
Insufficient payload (model declined to judge)0.0120.002

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 head0.045
GPT teacher head0.408
Teacher spread0.364 · 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
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

Citations1
Published2010
Admission routes3
Has abstractyes

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