Human and Inhuman Transformations in Nancy Huston's Dystopian Novel <i>Le Club des miracles relatifs</i>
Bibliographic record
Abstract
Huston's Le Club des miracles relatifs takes up familiar themes from the author's corpus and transposes them into a disturbing dystopian tale about the destruction of the Earth and the devalorization of humanity in the tar sands of Alberta. Through its combination of speculative fiction and environmental literature, Huston's hybrid text attests to the creative dynamism of her œuvre. This essay examines the diverse types of mobility present in the text, from the physical migration of characters and the transformation of the natural environment to the recurrent use of intertextual references and the dialogue between the novel and the collection of essays in Brut: la ruée vers l'or noir. In particular, it explores the representation of the mining site as a translingual, transnational space and discusses the ways in which Huston depicts the social injustice resulting from environmental destruction as a negative form of progress.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.025 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| 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".