Bibliographic record
Abstract
Access is a vital tool to deploy within a critical disability curatorial practice and can embody both conceptual and physical possibilities, whereby the very idea of access can be discovered in an artist’s work, and, at the same time, be productively curated into both gallery spaces and the exhibition of the artwork. This essay reflects on the author’s critical disability curatorial practice with the exhibitions Marking Blind (2015) and Sweet Gongs Vibrating (2016). Through the curation of works by Raphaëlle de Groot and Carmen Papalia, and through the artist curator relationship between the artists and the curator, the author of this paper, both exhibitions incorporated access in order to benefit the artists, the artworks, as well as diverse audiences. This paper argues that through the guidance of the curator, access can be incorporated into the exhibition in highly imaginative and artistic ways.
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 | 0.014 | 0.027 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.037 | 0.091 |
| Scholarly communication | 0.017 | 0.018 |
| Open science | 0.002 | 0.027 |
| Research integrity | 0.007 | 0.010 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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".