Reading Phillis Wheatley’s Catastrophist Poetics: Heroic Couplets and Environmental Justice
Bibliographic record
Abstract
This essay offers suggestions for reading Phillis Wheatley as an early poet of environmental justice by tracing the figure of catastrophe that runs throughout her works. The essay recounts teaching Phillis’s early poems in an upper-level undergraduate seminar on “Ecocriticism: Environmental Justice Literature” as well as in a graduate seminar called “Global Georgics: Land and Labour Across the Long Eighteenth Century.” Looking closely at moments where she describes “pestilential vapors,” or when “Heav’n quakes, earth trembles, and the shores resound,” I argue that Wheatley’s carefully ordered heroic couplet poems speak calamity more than regularity, catastrophe more than gradualism. This pedagogical approach opens possibilities for reading Wheatley’s poetry in the context of recent Black and Indigenous critiques of notions of the Anthropocene that ignore colonial history (Kyle Whyte; Heather Davis and Zoe Todd; Janae Davis et al.); it also invites students to read her work alongside a range of anticolonial theory from Katherine McKittrick, Édouard Glissant, Leanne Betasamosake Simpson, Kathryn Yusoff, and many others as well as recent poetry, fiction, and writing from Craig Santos Perez, Tommy Pico, Shani Mootoo, and Jamaica Kincaid. Read in the contexts of these wider and longer histories, Wheatley’s poems invite readers to consider racial injustice alongside environmental degradation and speak also to the irreparable harms of colonial modernity both then and now.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.009 | 0.011 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.005 | 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".