bloodli(n)es: Carnivalizing Narratives of Illness: Breathing Bakhtinian Life into the Compromised and/or Dying Body
Bibliographic record
Abstract
The following presents and discusses an excerpt from a work of creative non-fiction — a 90 page long poem titled bloodli(n)es. bloodli(n)es explores the evolving experiences, tensions, and suspensions of living with a degenerative and incurable disease. The poet confronts her diagnosis, her prognosis, a variety of physiological complications and related indignities, while being confronted with an inhospitable medical discourse. She struggles to come to ‘new terms;’ with her tumultuous past, her challenging present, and her uncertain future as well as with the new discursive, linguistic and physical terms being thrust upon her. Among the pressing questions the text raises is, why and how does this woman write; about her past, her disease, and her dying? What does her writing accomplish? How does she seek to write herself out: of an over-determined father-daughter history; a seemingly dead-end story; a textual tradition; the elevated poetics of sentimentality and transcendental notions that so often characterize stories of illness and death; and an overwhelmingly positivistic medical discourse, which increasingly threatens to over-define and over-write her?
 A series of paintings expressing tensions arising at various points in the text accompanies this work. These are titled: (1) father/daughter dis-eases I; (2) silences suspended; (3) bloodli(n)es; (4) seeing red; (5) father/daughter dis-eases II; and (6) art-eries.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.008 | 0.012 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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".