Entangled Species: The Inclusive Posthumanist Ecopoetics of Juliana Spahr
Bibliographic record
Abstract
In her most recent collection, Well Then There Now (2011), Juliana Spahr promotes an inclusive posthumanist ethics by composing poetry that adopts the complex patterns of nature, a poetry that models the shared, connective spaces we inhabit with others. Reacting to our contemporary moment of intense globalization and economic imperialism, and the environmental changes accompanying these giant social forces, Spahr conducts investigations of and through language in order to become more fully aware of the interconnections between self and others; and between self, others and environment, including how material interconnections shape our social and cultural conditions. Through her signature use of Steinian repetition and parataxis—alongside a process of cutting up, hashing, and recycling text—Spahr looks critically at the systemic intersection of all organisms, including the artificial or non-living other. As this essay argues, by emphasizing points of convergence between human, machine, and animal, Spahr’s inclusive poetics teaches us how to live intersectionally with respect and regard for other species, and encourages us to acknowledge our existence as co-existence.
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 | 0.001 |
| Science and technology studies | 0.006 | 0.029 |
| Scholarly communication | 0.005 | 0.007 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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".