Bibliographic record
Abstract
As Harriet Beecher Stowe's novel Uncle Tom's Cabin traveled around the world, it was molded by the imaginations and needs of international audiences. For over 150 years it has been coopted for a dazzling array of causes far from what its author envisioned. This book tells thirteen variants of Uncle Tom's journey, explicating the novel's significance for Canadian abolitionists and the Liberian political elite that constituted the runaway characters' landing points; nineteenth-century French theatergoers; liberal Cuban, Romanian, and Spanish intellectuals and social reformers; Dutch colonizers and Filipino nationalists in Southeast Asia; Eastern European Cold War communists; Muslim readers and spectators in the Middle East; Brazilian television audiences; and twentieth-century German holidaymakers. Throughout these encounters, Stowe's story of American slavery serves as a paradigm for understanding oppression, selectively and strategically refracting the African American slave onto other iconic victims and freedom fighters. The book brings together performance historians, literary critics, and media theorists to demonstrate how the myriad cultural and political effects of Stowe's enduring story has transformed it into a global metanarrative with national, regional, and local specificity.
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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 | 0.008 | 0.003 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.032 | 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".