“My Body is a Spaceship”: Technoscience and Experiments Otherwise in Adam Dickinson’s Anatomic
Bibliographic record
Abstract
What does an understanding of the self as constantly rearticulated mean for ecopoetry and the lyric “I”? And how might an emphasis on a multiscalar semiotics, where different forms of writing are understood to carry the capacity to literally reorganize material life, reframe the possibilities for writing under the contested sign of the Anthropocene, in the midst of the Earth’s sixth extinction event, the accelerating acidification of the planet’s oceans, and the largescale climatic reorganizations wrought by climate change? This article reads the idiosyncratic mode of production and the poems of Adam Dickinson’s Anatomic alongside recent scholarship in ecopoetics, environmental humanities, and science and technology studies to advance a particular and specific (that is, non-generic) understanding of Dickinson’s experimental poetics. From its beginnings in the desire to catalogue and identify the presence of a dizzying array of bacteria, chemicals, metals, and other substances in the body, Anatomic narrates the movement from a misguided and despairing purity politics to a transformative conception of the individual body and consciousness as shot through with relations at multiple, unfathomable scales. Intervening in the discourses, techniques, and worldview of what Max Liboiron (Métis) has termed “dominant science” (20), Dickinson’s text elaborates an experimental practice that invites us to rethink our modes and forms of relating to one another and the more-than-human entanglements that sustain, feed off, or simply co-exist with us.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.006 | 0.057 |
| Scholarly communication | 0.005 | 0.007 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.004 |
| 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".