Bibliographic record
Abstract
In the summer of 1812 Britain stood alone, fighting for her very survival against a vast European Empire. Only the Royal Navy stood between Napoleon's legions and ultimate victory. In that dark hour America saw its chance to challenge British dominance: her troops invaded Canada and American frigates attacked British merchant shipping, the lifeblood of British defence. War polarised America. The south and west wanted land, the north wanted peace and trade. But America had to choose between the oceans and the continent. Within weeks the land invasion had stalled, but American warships and privateers did rather better, and astonished the world by besting the Royal Navy in a series of battles. Then in three titanic single ship actions the challenge was decisively met. British frigates closed with the Chesapeake, the Essex and the President, flagship of American naval ambition. Both sides found new heroes but none could equal Captain Philip Broke, champion of history's greatest frigate battle, when HMS Shannon captured the USS Chesapeake in thirteen blood-soaked minutes. Broke's victory secured British control of the Atlantic, and within a year Washington, D.C. had been taken and burnt by British troops.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.023 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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; both teacher heads agree on what is shown here.
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".