Bibliographic record
Abstract
Abstract Africans and their descendants enslaved in the western hemisphere resisted their status in several ways. One of the most consequential methods was self-liberation. While many date the Underground Railroad as starting in the 1830s, when railroad terminology became common, enslaved people began escaping from the earliest colonial period. Allies assisted in journeys to freedom, but the Underground Railroad is centered around the enslaved people who resisted their status and asserted their humanity. Fugitives exhibited creativity, determination, courage, and fortitude in their bids for freedom. Together with their allies—white, Black, and Native American—they represented a grassroots resistance movement in which people united across racial, gender, religious, and class lines in hopes of promoting social change. While some participation was serendipitous and fleeting, the Underground Railroad operated through local and regional networks built on trusted circles of extended families and faith communities. These networks ebbed and flowed over time and space. At its root, the Underground Railroad was both a migration story and a resistance movement. African Americans were key participants in this work as self-liberators and as operators helping others to freedom. Their quest for freedom extended to all parts of what became the United States and internationally to Canada, Mexico, Caribbean nations, and beyond.
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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 | 0.000 | 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 | 0.003 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.075 | 0.008 |
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".