GIOFest XVII: Evening Film Reel
Bibliographic record
Abstract
A suite of films from the year of GIOGlobal ZOOM recordings was premiered in the Centre for Contemporary Art Cinema, with a virtual watch party on ZOOM beamed into the session. https://youtube.com/playlist?list=PLQw3tLmFowTT3xhgf_2dRaVVCUDPqqP9R&si=3TfZG5fjXCYqvDhh As well as familiar faces from the Glasgow Improvisers Orchestra Global Orchestra, we featured spontaneously arising compositions from returning guests, such as "Lemon" Alipio C Neto (Brasil/Italy), "How does one become the richest person in the world?" Douglas R Ewart (Minneapolis), ".", Maggie Nicols (London) and Rachel Weiss (Miami), Vinny Golia (California). Expansive original commissions were premiered: - from Mood Rings, a mesmeric digital animation graphic score composed by Instant Places (Ian Birse and Laura Kavanaugh, Canada) - Distributed Conduction, a prompt from Melbourne's Rob Burke, Clare Hall, Michael Kellett, Paul Williamson, - Koeru, a rapid montage painting on the theme of "EXCEED" from the Association of Advancement of Creative Musicians Renee Baker (Chicago) - Wave Particle and Impro Picnic, relay duet pieces staged by Minori Seki in Soja Art House, with the Okayama creative community. A diverse cacophony of sounds were elicited by the arresting animated graphic scores, blurring of the edges of the zoom boxes in Minori Seki's innovative projection zoom feedback loop installation, bleeding the digital space into projected site specific installations, and dancers coalescing in around beautiful Japanese architecture. The CCA Cinema audience were able to meet and greet the ZOOM performers during the screening, connecting to the performers weekly ritualistic performing recording sessions that have amassed over 600 hours of footage since March 2020.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.005 | 0.001 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.193 | 0.053 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".