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Record W7028806226

GIOGlobal Film screening at Glasgow Improvisers Orchestra's Gallus Disruptors Festival, CCA Cinema Glasgow

2023· other· en· W7028806226 on OpenAlexaboutno aff

Bibliographic record

VenueRADAR (Glasgow School of Art) · 2023
Typeother
Languageen
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsMovie theaterImprovisationPortraitTimelineSpace (punctuation)Dingo
DOInot available

Abstract

fetched live from OpenAlex

Argo commissioned, curated and edited a series of short films from Glasgow Improvisers Orchestra's GIO Global telematic improvisation group. The films were catalysed by animated graphic scores, hand painted prompts and directed virtual backgrounds in works composed by Robert Burke (Melbourne, Australia), Yasuko Kaneko (Okoyama Japan), Instant Places (Laura Kavanaugh and Ian Birse, Ottowa, Canada). Also featured were site-specific pieces spontaneously arising from the travels of our regular performers, from welding workshops to hilltop sprints. Ideas that traverse domestic and performance spaces, and those that blur the boundaries of the virtual and physical space are at the heart of this programme. "As the Crow Flies", Instant Places - Laura Kavanaugh and Ian Birse, recorded November 14th 2023 "Reflection and wave: Let's enjoy the time lag on Zoom", Yasuko Kaneko, recorded October 6th 2023 "Maria Impromptu" Ross Birrell and Maria Sappho, recorded 21st September 2021 "Songs and Sounds Rising 3" (Raymond MacDonald and Nathalie Ponlot, September 2023, from AIIA Festival, Geneve) "Recycled Masks", Minori Seki, recorded November 4th 2023. "Diversified Space and Place, Augmented Sociality: Two Moons", Robert Burke, recorded August 29th 2023 "Mochi" Yasuko Kaneko and Jessica Argo, recorded September 2023 "Arthur's Seat", David Robertson, recorded September 2023 "Grid & Weave" Jessica Argo, recorded September 2023 "recycled masks pt.2", Minori Seki, recorded November 4th 2023

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: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.113
Threshold uncertainty score0.224

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0060.002
Scholarly communication0.0040.001
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0590.006

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 head0.016
GPT teacher head0.262
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
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
Published2023
Admission routes1
Has abstractyes

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