Frances Trollope and the African American Question: "The Life and Adventures of Jonathan Jefferson Whitlaw; or Scenes on the Mississippi"
Bibliographic record
Abstract
Relegated to a footnote in most literary anthologies, better known for being the mother of Anthony Trollope, Frances Milton Trollope was a remarkably prolific author, a staunch advocate of human rights, a skilled traveler, and a truly transnational artist. Indeed, even though she began her writing career in her fifties, prompted by the financial necessity to support her family, she published over one hundred acclaimed narratives, including several travelogues, novels, and shorter pieces. In 1827 she followed her friend, the Scottish reformer Frances Wright, to Tennessee, to join the Nashoba Community, a short-lived and controversial utopian experiment. Purchased by Wright, African American slaves in Nashoba were educated and gradually prepared to be repatriated to Africa or Haiti. Trollope became fully acquainted with the slave question in the US, where she lived for a few years before moving back to England: she witnessed the hardships slaves had to endure and the violence inflicted on fugitives seeking sanctuary in Canada. By focusing on her groundbreaking abolitionist novel, The Life and Adventures of Jonathan Jefferson Whiltlaw (1836), this essay sets out to explore the strategies she employed to tackle the issue of slavery in the US; special emphasis will be placed on her treatment of the real protagonist of the novel: Juno, a woman in her seventies who interprets Trollope’s ideal of maternal feminism.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.023 | 0.007 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".