Bibliographic record
Abstract
This set of poems emerges from the flashpoint at the intersection of art, text, translation, and meaning-making. Several result directly from a class field trip with art educator Terry Barrett’s to the Columbus Museum of Art. We wrote during prolonged interactions with particular pieces. Others result from reflecting on making and remembering. The title of this collection, “imprint,” operates on multiple levels. There is the imprint of the text itself, the prints of the photos, the fictional prints and printmaking referenced, the mental images burned into memory, the lasting impression. There is something magical about trying to translate evanescent ideas, unformed understandings, and ephemeral moments into something more, something lasting, something to keep. These poems represent an attempt to capture something fleeting and slippery also in words. They are an attempt to pause, to contemplate in slower cadence, to ponder the surfeit of signs. They are an attempt to notice, to echo, to share and spark connections. They are an assemblage of images told in fractured pieces, bundled together, and shared.
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 | 0.001 | 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 | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.038 | 0.003 |
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; both teacher heads agree on what is shown here.
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".