The First Encounter: Fighting for Naval Supremacy on Lake Ontario, 7â10 August 1813
Bibliographic record
Abstract
To upgrade the fighting ability of the Provincial Marine, the Royal Navy sent one of their best young commodores along with 465 officers and ratings to operate the ships of the Lake Ontario squadron. This detachment of Royal Navy personnel, including four commanders, were all veterans with a wealth of sea experience. Commodore Sir James Lucas Yeo was described as a zealous, enterprising officer whose daring was unequalled in the annuals of the Royal Navy. Hence his rapid rise to flag rank and his knighthood at the age of thirty-one.\nThe purpose of this article is to illustrate that the way in which Chauncey and Yeo conducted their operations on Lake Ontario was very much in keeping with their background and experience. It was evident from their first encounter that Yeo, the veteran, was the confident aggressor while Chauncey, the administrator, was wary of the reputation of his knighted opponent and unsure of his own squadron’s capabilities.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.025 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.030 | 0.004 |
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".