Bibliographic record
Abstract
This chapter focuses on Nalo Hopkinson’s political and philosophical engagement with the speculative. Exploiting speculative fiction’s capacity for immanent critique, Hopkinson engages subversively with the ideological fantasies that structure sociopolitical practices in the Americas. Across a range of forms, including science fiction, fantasy, horror, and magical realism, Hopkinson queries everyday practices and modes of thought that shore up structures of oppression so as to open up space for a Black, feminist, queer, and decolonial counter-poetics. Vital to this project is the way Hopkinson’s oeuvre locates Canada in the broader Atlantic world, against the discourse of Canadian exceptionalism. This chapter traces the key thematic concerns and formal experiments in Hopkinson’s fiction and graphica while also attending to her important work as editor of anthologies and her political interventions in what André Carrington characterizes as “vernacular intellectual spaces.”
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.023 | 0.004 |
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; both teacher heads agree on what is shown here.
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".