Patriots of the Revolution: Joseph Warren, John Trumbull, and the Battle of Bunker Hill
Bibliographic record
Abstract
On June 17, 1775, 250 years ago, the British Army assaulted American forces occupying Bunker Hill. Doctor and Major General Joseph Warren led the American army, both in rank and in spirit. In addition to his successful medical practice, his political activities alongside Sam and John Adams propelled him to the forefront of the Patriot movement. Treating casualties from the Boston Massacre, organizing the Boston Tea Party, and ordering Paul Revere’s famous ride, Warren embodied and propelled America’s independence from England. On the morning of 17 June, he asked to be placed in the center of American lines. Connecticut militia officer John Trumbull witnessed the attack, serving a short but distinguished career in the Continental Army. Pursuing his passion for painting, he trained with Benjamin West and completed a series of works that portrayed and later defined the American Revolution. His 1786 Death of General Warren , the first and arguably the greatest in his oeuvre, showcased the British Army overrunning the Americans on Bunker Hill, with Warren fatally falling to a British bullet. Relying on the contemporary realism West pioneered, Trumbull successfully captured the essence of the battle: the chaos of the moment, the courage of the participants, and the pathos of Warren’s martyrdom.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.022 | 0.010 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.008 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".