Bibliographic record
Abstract
More than 300 works, created by artists from around the world as well as from just around the corner, will be featured in A Generous Space. Paintings, drawings, sculpture, ceramics, textiles, photography, basket-making, weaving and needlework have travelled to the UK from countries including America, Canada, India, Republic of Moldova, Switzerland, Spain, Portugal, the Netherlands, Italy, and the Republic of Ireland. There is also strong representation from local and regionally based artists.<br/><br/>There were more than 3600 submissions for A Generous Space, all made via Instagram using the #aspshows hashtag, with ASP founder artist Matthew Burrows MBE and eight other selectors choosing the works to be included in the exhibition. The selectors are acclaimed artist Lakwena; Kate Bryan, TV presenter and Head of Collections for Soho House; a-n’s Chief Executive Julie Lomax; Natalie Melton, Creative Director, Arts Council; Sally Shaw MBE, Director of the 2021 ‘Art Fund Museum of the Year’ gallery Firstsite; Jo Baring, Director of the Ingram Collection of Modern British & Contemporary Art: journalist and editor Javier Pes and Jes Fernie, an independent curator and writer working with galleries, architectural practices, and public realm organisations on public programmes, commissioning schemes, exhibitions and residency projects across the UK and abroad.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.035 | 0.000 |
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 teacher head, 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".