Fugitive Borders: Black Canadian Cross-Border Literature at Mid-Nineteenth Century
Bibliographic record
Abstract
Fugitive Borders explores a new archive of 19th-century autobiographical writing by black authors in North America. For that purpose, Nele Sawallisch examines four different texts written by formerly enslaved men in the 1850s that emerged in or around the historical region of Canada West (now known as Ontario) and that defy the genre conventions of the classic slave narrative. Instead, these texts demonstrate originality in expressing complex, often ambivalent attitudes towards the so-called Canadian Promised Land and contribute to a form of textual community-building across national borders. In the context of emerging national discourses before Canada's Confederation in 1867, they offer alternatives to the hegemonic narrative of the white settler nation.
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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 | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.084 | 0.045 |
| Scholarly communication | 0.046 | 0.011 |
| Open science | 0.016 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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; 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".