The land beyond the forest : a conceptual novella and accompanying essay on settler responses to Indigenous people’s in genre and conceptual writing
Bibliographic record
Abstract
The Land beyond the Forest is a conceptual, found-text novella that blends public domain texts from and about Canada’s Fur Trade-era with the core text from Bram Stoker’s Dracula. In addition to the novel is an essay detailing the treatment and representation of Indigenous peoples in a range of texts from early Canadian Gothic novels and poems as well as more recent works such as film westerns and Canadian conceptual and experimental poetry. The novella and essay are working in concert to read the ways Settler writers in North America have appropriated and misrepresented Indigenous culture and how they continue to do so despite attempting redress and reconciliation in their work. I conclude by demonstrating how conceptual writing is a viable way for non-Indigenous writers to contribute to reconciliation, both by citing recent examples and presenting my own work, while avoiding the errors Settler writers in more conventional forms of writing continue to make.
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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 | 0.001 |
| Science and technology studies | 0.016 | 0.025 |
| Scholarly communication | 0.008 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.005 |
| 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".