Bibliographic record
Abstract
In February-March, 2021, Hermes, a gallery in Halifax, Nova Scotia about the size of two large living rooms showed an exhibition called ESCAPE / The Great Indoors. Curated by Halifax’s then Young Curator Liuba González de Armas, the exhibition brought together “cozy, bright, and colourful explorations of domestic space by four emerging artists” working with textiles, painting, installation, and social practice. In this piece, I explore ESCAPE / The Great Indoors through interviews with the curator and one of the artists, its written documentation, and my responses to the pieces. The exhibition’s playful retreat into the inner sanctums of our homes—our bathrooms, bedsides, and bellies—seems to be a panacea for the agoraphobic times of the pandemic. However, it also presents a soft pandemic politics, playful but stitched through with threads of both anxiety and solidarity. The curator’s statement stresses the social over the solo: “the artists draw meaning from connections with themselves, others, culture, and the more-than-human.” ESCAPE / The Great Indoors folds back the screen around private space to invite the public in to listen to the artists’ stories and call up their own.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.022 | 0.015 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.015 | 0.002 |
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".