Cannibalizing paradise: Suzanne Césaire’s ecofeminist critique of tourist literature
Bibliographic record
Abstract
This paper considers the ecofeminist geopoetics of Suzanne Césaire, developed over the course of seven essays that appeared in Martinican literary journal, Tropiques. Césaire deploys a ‘cannibalizing’ method aimed at subverting colonialist-utopian fantasies of the Antilles that cast them as inviting, penetrable spaces for European colonists and pleasure-seekers. I suggest that Césaire enlists the chaotic, often destructive forces of Caribbean climate to create a resistant geopoetics that opposes paradisal and sexualized visions of the tropics in travel literature. Yet, rather than simply activating the dystopian and disastrous antipode of Edenic paradise, Césaire diffuses the dialectical tension between utopia/dystopia, instead grounding the emergence of an unassimilated identity in the region’s geo-climatic dynamism. I argue that Césaire’s valorization of instability as a defining feature of Caribbean culture and geography impedes the reification of islands as either utopic paradises ripe for consumption or dystopian hotspots in need of technological rationalization and control. While Césaire’s work has been largely left out of studies on postcolonial theory, ecocriticism, and Caribbean women’s writing, I suggest that her essays demonstrate a latent ecofeminism, allowing her to subvert gendered, exoticized representations of Caribbean islands used to justify continued environmental exploitation, development, and neocolonial control.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.016 | 0.025 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".