Bibliographic record
Abstract
Summary This story is part of a special section in honor of Kathleen Stewart, who is ever mindful of how we language what we world. My story is written as an exercise in poetic force, generating the life of beast‐signs and backtalk, which were fundamental concepts in Stewart's early writing. In this “hundreds,” Miss Grace tells a disaster story meant to encourage a scanning for signs of “the beast” in the trauma of a deadly Caribbean hurricane that destroyed her beachside village leaving only anguish and hordes of tourist investors in its wake. Miss Grace worlds beast‐time encounters with some'ting crazy, as vibratory conjurations and transductions, as in some quality of an accidental discovery of feelings. I turn to the power of crazy, fluid connections through which Grace's sea‐stormy encounters became a make‐believe space that composed itself as a dense entanglement of sensation, attention, and matter. I re‐imagine the evidence of Grace's beast‐time affective economy as a dynamized force, co‐constituting enactments of trauma and curiosity, attempts to find room to maneuver in a new tourist real, on a beach, in Belize.
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 | 0.000 | 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 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.031 | 0.013 |
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".