Bibliographic record
Abstract
In this essay, we offer a prehistory of contemporary bubbles used in the mitigation of viruses, told through the late 1980s case of Eliana Martínez, an HIV-positive (HIV+) and developmentally disabled Puerto Rican child who was ordered to be confined to a glass chamber within her Florida classroom. Eliana’s mother, Rosa, challenged the use of this chamber as a reasonable disability accommodation in a high-profile lawsuit. We draw on disability studies, critical access studies, and a postcolonial critique to put forward a theory of the bubble as a “structure-within-a-structure”—a zone of limited, restricted, or filtered interaction with the broader social world. Eliana’s bubble demonstrates how institutional practices of accommodation can easily transform into techniques of containment, sanctioned to manage the “infectious subject” within institutions and systems. The bubble is a gathering of social forces and bodily relations. In Eliana’s case, it gathers the necropolitical arrangements of different populations, the coloniality of Puerto Rico, the innocence of childhood, the fatality of an AIDS diagnosis, and the politics of design and disability.
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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.028 |
| Scholarly communication | 0.006 | 0.009 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.004 | 0.006 |
| Insufficient payload (model declined to judge) | 0.005 | 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".