VIEWPOINT:screening programme at the SSA Annual Exhibition, Maclaurin Gallery, Ayr
Bibliographic record
Abstract
Exhibition dates: 19/11/23 → 14/01/24<br/>Exhibition venue: Maclaurin Gallery, Ayr, United Kingdom<br/><br/>For 2023/24 CutLog presented VIEWPOINT screening programme at the SSA Annual Exhibition at the Maclaurin Gallery, Ayr, Scotland. <br/><br/>I am part of the CutLog Moving Image group, which comprises six artists and researchers who all work with digital film & video and have come together with the intention of creating new opportunities for artists to show moving image work across Scotland and internationally. CutLog are interested in exploring the variety of ways in which artists are developing their ideas through moving image in this present moment.<br/><br/>We have curated programmes for CutLog where they have been screened/exhibited at the Society of Scottish Artists Annual Exhibitions at the Royal Scottish Academy, Edinburgh in 2019/20, 2021, 2022/23, 2023/24 as well as curate online screening programmes.<br/><br/>In both screening programmes we have included artists from Scotland and the wider UK although the majority of artists are from countries internationally, from Hungary, Portugal, Belgium, the Netherlands, Ireland, Estonia, China, Brazil, USA and Canada<br/><br/>
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 distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.016 | 0.008 |
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; both teacher heads agree on what is shown here.
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".