The Battle of Lake Erie: American Perspectives on the Battle and its Aftermath: David Frew, Perry's Lake Erie Fleet: After the Glory; Walter P. Rybka, The Lake Erie Campaign of 1813: I Shall Fight Them This Day; David Curtis Skaggs (ed.), The Battle of La
Bibliographic record
Abstract
The American defeat of the British squadron on Lake Erie, on 10 September 1813, extended the United States navy's string of victories on the high seas to the Great Lakes.This victory stood in stark contrast to the indecisive actions on Lake Ontario, and led to the retreat and defeat of the British forces that had blocked the American advance to retake Detroit and invade south-western Upper Canada.The celebration of the 200th anniversary of the victory was one of the most highly anticipated events in the docket of War of 1812 anniversary celebrations.The three books reviewed here were produced to provide those interested in the battle, with an understanding of the event and its place in the larger war between the United States and Britain.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.005 |
| Science and technology studies | 0.012 | 0.005 |
| Scholarly communication | 0.011 | 0.007 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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".