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Record W7019284900

Frances Trollope and the African American Question: "The Life and Adventures of Jonathan Jefferson Whitlaw; or Scenes on the Mississippi"

2023· article· en· W7019284900 on OpenAlexaboutno aff

Bibliographic record

VenueCineca Institutional Research Information System (Tor Vergata University) · 2023
Typearticle
Languageen
FieldArts and Humanities
TopicLiterature: history, themes, analysis
Canadian institutionsnot available
Fundersnot available
KeywordsAdventureIdeal (ethics)African americanAfrican-American literatureHuman lifeRomance
DOInot available

Abstract

fetched live from OpenAlex

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.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.967
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0020.003
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.058
GPT teacher head0.256
Teacher spread0.198 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; both teacher heads agree on what is shown here.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueCineca Institutional Research Information System (Tor Vergata University)Same topicLiterature: history, themes, analysisFrench-language works237,207