Bibliographic record
Abstract
On Touching: RESET (Jupiter Artland) (2021) An installation and poem in collaboration with artist Alberta Whittle for the 2021 Edinburgh Art Festival at Jupiter Artland. Jupiter Artland is delighted announce the details of our upcoming exhibition of the work of Turner-Prize co-winning artist Alberta Whittle. Alberta Whittle, who will represent Scotland at next year’s Venice Biennale, produced RESET at the height of lockdown, filming across Scotland (at Jupiter Artland and her home-town Glasgow), South Africa and Barbados and responding to the immediate context of the Black Lives Matter movement, the global pandemic and climate emergency. The film skilfully connects emergent fears of contagion, moral panic and xenophobia with a call to action – a demand – to face and heal injustices and cultivate hope in hostile environments. RESET was co-commissioned and co-produced by Frieze and Forma. Whittle weaves RESET together through contributions by writers, performers, fellow artists and musicians: Sekai Machache, Mele Broomes, Matthew Arthur Williams, Christian Noelle Charles, Ama Josephine Budge, Yves B Golden, Anushka Naanyakkara, Sabrina Henry, Richy Carey and Basharat Khan, who she refers to as her accomplices. Whittle’s RESET will be accompanied by a group exhibition in which each of these artists will present their own artistic practices across Jupiter Artland’s outdoor and indoor gallery spaces. This exhibition will showcase a new generation of Scottish artists creating socially active artwork in the wake of the pandemic and culminate in a performance by Whittle and her collaborators later in the summer. Both exhibitions will be a part of Edinburgh Art Festival 2021. RESET was co-commissioned and co-produced by Frieze and Forma.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.008 | 0.002 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.230 | 0.075 |
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".