Bibliographic record
Abstract
During the first half of the 19th century, hundreds of slaves saw themselves transported to freedom through the Underground Railroad which covered most of the United States and Canada. This was a secret organised network of communications and routes whose aim was to rescue from slavery as many people as possible, helping them to reach safely territories where slavery had been abolished. In many cases, Canada was the final step of the journey. One of the protagonists of the Underground Railroad was Harriet Tubman, a runaway slave that, once a free woman in Canada, spent the rest of her life helping fellowmen and women to escape the ordeal of slavery, doing several trips back to the south in search of new ‘cargo’ to be transported north to freedom. More than a century later, in 1988 Toronto, a black and witty fourteen-year-old will find her heroine and social model in the figure of Harriet Tubman. Margaret Cruishank is the main character in Marlene Nourbese Philip’s novel for teenagers Harriet’s Daughter (1988). In her coming-of-age process, she sees the need to disavow her real name to become Harriet, a name which, she reckons, carries with it a signification that her own name lacks. A girl of unusual courage and determination, Margaret-Harriet will seduce her schoolmates with a new and fascinating game: the Canadian Underground Railroad. Thus they will set out to reenact history, twisting it on the way and unlearning some of its particulars: ’ “Can slaves be white?” “Of course they can!"’ we read, for instance, at one point in the novel. The children’s game will eventually be discovered, and its organiser severely reprimanded. But through this and other adventures, Margaret-Harriet will herself become a sort of Harriet Tubman, since with her account she traces new routes for her fellow teenagers to reach a safe Afrocaribbean-Canadian identity, making them feel proud of their origins, their culture and their skin colour.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.012 | 0.010 |
| Scholarly communication | 0.008 | 0.008 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.027 | 0.004 |
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".