Dan Buchanan, The Wreck of HMS Speedy: the Tragedy that Shook Upper Canada by Shannon Jaspers-Fayer
Bibliographic record
Abstract
Reviews 593 demonstrates no direct connection between their service in Grey's campaign and their subsequent success in the Peninsular War.The book is also plagued by poor editing, with errors ranging from minor compositional matters to the unnecessary repetition of both Grey's and Thomas Dundas's biographies in separate chapters.Worst of all from the perspective of the readers of this journal, however, is the under-examination of the Royal Navy's role in the campaign.While Brown gives Jervis's forces due credit for their contribution to the conquest of the three islands, their blockade of the islands prior to the invasions and their failure to intercept French reinforcements do not receive similar attention.It's an omission that is all the more disappointing given that in most other respects Brown provides a satisfactory overview of the 1794 West Indies campaign, one that is likely to serve as the standard account for some time to come.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.015 | 0.006 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.022 | 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".