Bibliographic record
Abstract
The central theme of Icon, the print on the cover of this issue, concerns the anxious memory of being medically scanned in a hospital. I am most interested in the tension between reductive medical artifacts and the living, whole body they are meant to serve. I aim to mend this disconnect by portraying hospital gowns that have been embodied and personified by the uneasy recollections of their wearer. My printmaking process begins by photographing standard hospital gowns that are twisted, falling, or crumpled—a gesture that points to the worry one feels while wearing the garment. I then combine the gown imagery with photographs of domestic spaces, such as Venetian blinds, to reflect how the memories intrude on the patient’s daily life. To produce the print, I developed a toner transfer technique that binds the photographic layers between many coatings of wax—resulting in a rich and intensely vibrant image. The hypersaturated colors of the final print emphasize the artifice of the medical object, while the organic curves of the hospital gown recall the realities of the ill body in its noticeable absence. The elements of Icon read as a psychological snapshot of the patient’s anxious mind while she is being scanned, and how these memories weigh on everyday life. We know this garment—either we have been in one ourselves or we have cared for a patient, family member, or friend when they wore it. It is a collective experience of vulnerability and unease, by the garment itself or, more important, the reason we are made to wear it.IconDarian Goldin Stahl, MFAD.G. Stahl is a professional artist and humanities PhD student, Concordia University, Montreal, Quebec, Canada; e-mail: [email protected]; Web site: www.dariangoldinstahl.com.
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 | 0.013 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.005 | 0.004 |
| Insufficient payload (model declined to judge) | 0.468 | 0.217 |
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".