Harriet Tubman: Transnationalism and the Land of a Queen in the Late Antebellum
Bibliographic record
Abstract
Abstract Harriet Tubman and female fugitives from the United States maintained elevated expectations for British Canada during the late antebellum period. Their quest to reach Canadian soil was twofold: they wanted to resist enslavement in America, and also to sidestep sexual exploitation and gender degradation. Female runaways and refugees reasoned that their dual desires could be achieved in Canada, both because slavery had been abolished there via the Imperial Act of 1834 and because Queen Victoria's reign, starting in 1837, gave the impression of greater esteem and rights for women. Unfortunately, what they found on the “Queen's soil” was that racism as well as sexist beliefs were a transcending sentiment, which did not discontinue at the American-Canadian international border. Still, these women in the dominion of Canada fought to challenge constructed borders, whether racial, sexual, or national.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".