"Arabesque Grotesque": Toward a Theory of Dada Ecopoetics
Bibliographic record
Abstract
Upon honeysucklefists Arabesque grotesque Basks—drumming as it lists Beetle Thank God, nature is going to die. Yes, the great Pan is dead. Imagine this unique ecosystem in New York, 1918: in a cold-water tenement on Fourteenth Street near the Hudson River, the Baroness Elsa von Freytag-Loringhoven (1874–1927), a German émigré Dada poet, cultivated an intensely close relationship with animals—living with several dogs and other assorted animals, refusing even to kill rats, insisting instead on feeding them.1 The menagerie was housed among her art objects, mostly objets trouvés collected from the streets of New York, relocated and repurposed within the apartment. The room was “crowded and reeking with the strange relics which she had purloined over a period of years from the New York gutters,” as the painter George Biddle recalls. “Old bits of ironware, automobile tires, gilded vegetables, a dozen starved dogs, celluloid paintings, ash cans, every conceivable horror, which to her tortured, yet highly sensitized perception, became objects of formal beauty” (140). A 1915 photograph of Baroness Elsa in her Greenwich Village studio shows a birdcage with her canary hanging from the ceiling (rpt. in Freytag-Loringhoven, Body Sweats 95, pl. 2.10), just as Duchamp hung his snow shovel from the ceiling as a readymade. As an originary “posthuman,” a concept that has emerged contemporaneous with the postmodern and phenomenological revisions to subjectivity, Baroness Elsa blends organic, artful, and technological materials to produce a new aesthetic and gendered sensibility, one that challenges the mechanomorphic machine images dominating New York Dada. Anticipating postmodern concerns, as Alex Goody writes, “Baroness Elsa's poetry parodies the omnipotence of an American technological teleology, [and] considers how the consumer products of a modern America confuse and blur the integrity of the human form” (116). Thus, she translated her “house” into a functional Dada-ecosystem, and lived according to ecological principles that she would also deploy throughout her poetry. Radically reconfiguring and expanding the notions of “nature” poetry and the lyrical subject, the Baroness's poetry presents a prescient anticipation of postmodern ecopoetics.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.006 | 0.022 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| 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".