Memoir of a Republican Royalist: Gouverneur Morris, Chronicler and Actor of the French Revolution
Bibliographic record
Abstract
The Paris sojourn of the author of A Diary of the French Revolution is possibly the most fascinating period of his eventful life. As George Washington's informant and emissary (official and unofficial) in both Paris and London, Gouverneur Morris discreetly contributed to the United States' policy toward France and England. Upon his arrival in Paris in February 1789, Morris became the privileged witness of the outbreak of the French Revolution, of which he would become an invaluable chronicler and a discreet actor for five years. A self-appointed advisor on revolutionary matters, he would interfere in French politics as a republican royalist of sorts and become the darling of the constitutional noblesse and the Jacobins' bête noire. From 1792 to 1794, he served as minister plenipotentiary of the United States. As the only foreign diplomat to remain in Paris during the Reign of Terror, Morris judiciously used his astonishing network of personal relationships with the various factions to defend American interests and to help his compatriots involuntarily caught in the maelstrom of sanguinary ideological excesses. This article re-examines Gouverneur Morris's participation in the second earth-shaking upheaval of the late eighteenth century and ponders the New York revolutionist's reasons for involvement, as well as the nature and significance of that engagement.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.012 |
| Scholarly communication | 0.008 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 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".