How the public autopsy of a slave Joice Heth launched P.T. Barnum's career as the Greatest Showman on Earth
Bibliographic record
Abstract
P.T. Barnum's career as the Greatest Showman on Earth began in 1835, when he "leased" and then publically exhibited a frail African American slave Joice Heth, who was reportedly the 161-year-old former nursemaid of George Washington, throughout New England; the contract was a lease, as slave ownership had recently become illegal in northern states. Barnum exhibited Heth 6 days a week for up to 12 hr a day. Under this grueling schedule, Heth became ill and died while under contract. Barnum sold tickets for her autopsy, which was performed by David L. Rogers, an accomplished New York surgeon, in front of an audience of 1,500 paying customers. Roger's autopsy determined that Heth was no more than 80 years old, and the penny newspapers, a new form of public media, called this a "humbug" and then published dozens of fabricated "fake news" stories about Barnum, Rogers, and Heth. Barnum and his business partner generated valuable publicity by telling different penny newspapers different stories. This whole spectacle launched Barnum's career as an entertainer. Five years earlier, Rogers performed a public dissection of Charles Gibbs, an infamous Caribbean pirate who was tried, convicted, and hung in New York City. This article describes the bizarre nature of American politics and culture in the 1830s that made all of these seem normal. I will also distinguish between "public dissection" and "public autopsy," and put these into an historical context. Finally, I will address the macabre concept of autopsy as a form of entertainment. Clin. Anat. 31:956-965, 2018. © 2018 Wiley Periodicals, Inc.
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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 | 0.004 | 0.018 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.021 | 0.011 |
| Scholarly communication | 0.013 | 0.009 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.007 | 0.014 |
| Insufficient payload (model declined to judge) | 0.013 | 0.005 |
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".