"Near enough to smell and far enough to desire”: Archipelagos of Desire in Canisia Lubrin’s Voodoo Hypothesis and Dionne Brand’s In Another Place, Not Here
Bibliographic record
Abstract
Both the 1996 novel In Another Place, Not Here by Trinidadian Canadian writer Dionne Brand and the 2017 poetry collection Voodoo Hypothesis by St. Lucian Canadian poet Canisia Lubrin are concerned with desires spanning the Caribbean archipelago, to Canada and back again. The narrators and protagonists of Brand’s text migrate across this archipelago while navigating various desires—for places, people, a sense of belonging, and revolution—that serve as a way of bridging distances between bodies, continents, and moments in time. Lubrin shares in that project by not only writing about the archipelago’s historic echoes and present connections, but by explicitly dedicating one of her poems to Brand. In this article, we read desire and the archipelagic in these works not just together, but through one another, conceptualizing what we call an “archipelago of desire.” The notion of the archipelago proves useful due to the concrete geographical constellation that forms the Caribbean and that can, in extension, be used to explore not merely one or two forms of mobility, but a plurality of im/mobilities, such as these speakers’ crisscrossing paths. In using the archipelago to grasp desire, we see different desires as fragmented and interwoven; they are part of not a whole but of something which resists being a whole, much like an archipelago resists being subsumed into one category; desire is then a way of assembling these things together while affirming their fragmentary nature.
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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 | 0.002 |
| Science and technology studies | 0.014 | 0.028 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".