“For the Defense of the Liberties and Independence of the United States”: Remembering a Forgotten Militia Post and Quasi-War Cantonment in Plainfield, New Jersey (Part 2 of 2)
Bibliographic record
Abstract
The area around Green Brook Park in Plainfield, New Jersey, was the site of two significant military encampments during the revolution and the new nation’s first international conflict, the Quasi-War. This is part two of a two-part article arguing the significance of the site in both conflicts through an analysis of surviving primary-source material. (The first installment was published in the Summer 2022 issue of this journal.) This article concerns the Quasi-War–era cantonment established in Plainfield, known as the Union Camp. Established in October 1799, the Union Camp served as a winter cantonment for three regiments of the “New Army,” raised in anticipation of possible war with France. This article examines the reasons why the New Army’s officers, especially Inspector General Alexander Hamilton, chose to quarter three regiments (known as the Union Brigade) in Plainfield. It also examines the hutting practices used at the Union Camp to shelter the three regiments, and the many ways the men of the New Army both relied on previous experience from the revolution while also innovating. Lastly, it discusses many aspects of life in camp, issues with health and supplies, and the interactions of a controversial army with the local population.
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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 | 0.000 | 0.001 |
| Science and technology studies | 0.018 | 0.014 |
| Scholarly communication | 0.006 | 0.005 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.006 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
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".