Sculpting Nostalgia: Daniel Arsham, Alicja Kwade, and Kathleen Ryan1
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
This article examines how the pace of technological progress has continued to accelerate the pace at which nostalgia is conjured and commodified. It undertakes a comparative study of sculptures by three contemporary artists, Daniel Arsham (USA, b. 1980), Alicja Kwade (Poland-Germany, b. 1979), and Kathleen Ryan (USA, b. 1984). While these three artists create and theorize in discretely different modes, their intermedial strategies are thematically linked in their shared leveraging of archaeological praxis and geological materiality vis-à-vis the temporal structure of nostalgia. Their sculptures are important case studies to unpack how nostalgia is culturally mobilized in this specific moment of technological acceleration and the resulting ecological perils of this progress.
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) | 0.001 | 0.002 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.004 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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