Bibliographic record
Abstract
Drawing on Jean-Luc Nancy’s insights about the body as the place of existence, Karen Barad’s agential realism , Jane Bennett’s conceptualization of vibrant matter , and the lessons of material feminisms propounded by Alaimo and Hekman , this chapter investigates Canadian Madeline Bassnett’s collection Under the Gamma Camera (2019), a probing meditation on illness and the vulnerability intrinsic to human existence, which is depicted as singular, finite, and exposed. Bassnett’s poems are firmly rooted in her first-hand experience of cancer, as well as in the deep sense of vulnerability she felt in the face of indifferent corrupt cells and destructive processes operating within herself. As a result, her collection is pervaded with a sense of emotional urgency and authenticity, alongside a plethora of details that gesture toward homo sapiens ’s sensory participation—or rather sensuous immersion—in a more-than-human world. Ultimately, this chapter argues, Bassnett finds out that the body is the medium through which we experience the world, and that states of distress and pain are powerful catalysts for an enhanced awareness of (non)human frailty and our earthly existence qua sentient bodies—i.e., of the vulnerability shared by the human body and the natural world.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.007 | 0.011 |
| Scholarly communication | 0.005 | 0.007 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.006 |
| Insufficient payload (model declined to judge) | 0.025 | 0.007 |
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".