Imaginations and Speculative Writings: Reinvesting Post-Colonial Possibilities and Subjectivities in Kaie Kellough’s <i>Dominoes at the Crossroads</i>
Bibliographic record
Abstract
Recent studies on speculative literature emphasise the narrative presence of postcolonial thinking that proliferates within the genre. It is the case in the collection Dominoes at the Crossroads (2020) by the African Canadian writer Kaie Kellough, which attempts to re-imagine and tell the story of the black diaspora in Montreal, other than under a colonial spectrum. The short stories use a variety of speculative strategies: whether it is reinvesting a marginalised figure of a classic Quebecois novel or imagining the setting of Montreal’s future in which marginalised populations own a majority of the properties. The analysis of these stories will allow us to show how speculative literature is fertile ground for postcolonial potentialities, by allowing us to project elsewhere. Since speculative literature is a broad genre whose definition is not circumscribed, we will see how reflecting on the alternative postcolonial imaginings through such narrative allows for a rewriting that makes it possible to go beyond the colonial paradigms.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.014 | 0.056 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 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".