Bibliographic record
Abstract
Eco-fantasy critics often celebrate what Gry Ulstein calls fantasy’s “intrinsic exploratory potential for ecocritical ideas.” It is, however, equally important to acknowledge the possibility of failure that a rhetoric of potentiality necessarily implies. As Ulstein admits, fantasy can reinscribe anthropocentric messaging just as easily as it presents ecological perspectives. Naomi Novik’s environmental fantasy novel Uprooted (2015) offers an example of a text that incorporates elements from both ends of fantasy’s spectrum of ecocritical potential. Specifically, it dramatizes a shift in perspective from an initially negative, human-centered depiction of nonhuman environments toward a vision in which humanity appears considerably less central or important. Capitalizing on fantasy’s capacity to focalize nonhuman points of view, Uprooted evokes philosopher Timothy Morton’s ecological concept of coexistentialism, a key principle of which maintains that within the course of negotiating relations between human and nonhuman beings, sometimes “the only thing to do is to treat beings as people, even if they turn out not to be.” Anthropomorphic gestures of this kind critically challenge assumptions of human exceptionalism and elevate the value of nonhuman life-forms, which in Novik’s novel includes the “heart trees” and magical creatures of the ever-expanding dark forest, whose reverse reclamation of human territories provides the principal antagonistic force of the narrative.
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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.007 | 0.025 |
| Scholarly communication | 0.011 | 0.009 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.008 |
| Insufficient payload (model declined to judge) | 0.004 | 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".