Bibliographic record
Abstract
Abstract High summer bore down in the northern states as the French army began its trek from Rhode Island to New York to link up with Washington’s Continentals. Moving along under a merciless sun, and in great swirling clouds of dust, the French soldiers found New England’s climate so hot that Rochambeau for the most part terminated each day’s march at noon, though some of the afternoon hours were spent in finding food. “The Americans sup- plied us with nothing,” said one disgusted soldier, and he added that the French “were obliged to purchase everything and to provide ourselves with the most trifling things.” Near White Plains on July 6—eighteen days after starting out, and eleven months after their arrival in America, the French army joined with the Continental army. The Americans spontaneously cheered and applauded the sight of their allies in their white uniforms. The next day, the French passed in review before Washington and Rochambeau, and the following day, under a pale blue sky, the Continentals reciprocated with a parade of their own. One French officer thought the rebels looked “rather good,” though another observed that many American soldiers were barefoot and an alarming number were either barely adolescents or somewhat old for the rigors of military service. He thought it hopeful that “a quarter of them were negroes, merry confident, and sturdy.”
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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 | 0.006 | 0.003 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.023 | 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".