Bibliographic record
Abstract
A gripping biography of a man who escaped slavery to become an influential abolitionist, famously known as the “King of the Underground Railroad” Jermain Wesley Loguen (1813–1872) was a fugitive from slavery, an abolitionist, and a minister, teacher, and political activist. He worked alongside Harriet Tubman and Frederick Douglass, and his home in Syracuse, New York, was among the most publicized Underground Railroad stations in the northern states. Loguen’s political commitments in the years before the Civil War were carried out at great personal risk, for he had liberated himself from slavery in Tennessee and was in constant danger of being captured and reenslaved under the Fugitive Slave Law. Defiantly, however, he refused to purchase his own freedom, an act that he believed would have legitimized the rights of slaveholders. In addition to aiding fellow fugitives from slavery, Loguen worked tirelessly to promote Black equality and uplift throughout upstate New York and Canada. After Emancipation, he extended his work to aid freedpeople in the South and to advocate for Black equality on a national scale. In this engaging study, Angela F. Murphy follows Loguen from his early years through his transformation into one of the brightest stars in the constellation of abolitionists and reformers in New York.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.131 | 0.029 |
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".