Terrestrial Cosmopolitanism, Posthumanism, and Multispecies Modes of Being in Cereus Blooms at Night
Bibliographic record
Abstract
Cosmopolitanism has generally been used to describe a philosophy that imagines all humans as citizens of a single “human” community. This article explores a terrestrial cosmopolitanism that challenges the colonial discourse of human exceptionalism by extending the democratization of people to include environmental bodies within their global context, replacing hierarchies with collectivities to reveal humanism’s underrepresented others. Examining interspecies alliances in Shani Mootoo’s Cereus Blooms at Night, I look towards terrestrial cosmopolitanism as an alternative to anthropocentric forms of cosmopolitanism that continue to reinscribe colonialist aspirations and ontologically exclusionary practices. Mootoo’s work decenters how we think about humans and the environment and offers a nuanced depiction of a positive interspecies community that resists harmful humanist taxonomies. Reading the novel’s protagonist, Mala, as a posthuman figure, I argue that her rejection of human language, in conjunction with her nonhuman interactions, positions her as a keeper of collectivity, as she creates a third space of subjectivity in her garden that blurs the boundaries between humans and nonhumans.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.008 | 0.034 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.001 | 0.002 |
| 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".