A Never‐Ending Painting: The Generosity of Time Spent Making and Learning with Others through Artistic Research
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract This article examines the role of spending time with others in and through artistic research and practice. I draw from my doctoral work which took me on a cross‐Canada journey visiting 125 artists in their studios. Following the studio visits, I made a series of paintings of artists’ studios, however a year later these same paintings were cut up and rearranged to create collaborative studio assemblages on the walls of the Tate Exchange Gallery in Liverpool. Drawing on the metaphor of a never‐ending‐painting to examine never‐ending pedagogies, this article examines the evolution of this project through three iterations of the studio paintings. With each iteration, I explore different ways of knowing others through making thus proposing the performative and relational qualities of artistic research. The first iteration allowed me to spend time with artists even in their absence, as I engaged with our conversations through painting their studios, thus blurring the lines between solitary and social art practices. The second iteration allowed me to give up my art to others through asking them to create collages with fragments of my studio paintings. And the third iteration allowed my work to merge with other arts‐based researchers. Through this process, I propose that making art allows for multiple conversations to emerge through spending time getting to know others through art making.
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.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it