Andrew Bond, Frank Cowin and Andrew Lambert, Favourite of Fortune: Captain John Quilliam, Trafalgar Hero by Thomas Malcomson
Bibliographic record
Abstract
The Northern Mariner / Le marin du nord and just how "fresh" the water in Navy Bay had become near the privies and rotting timbers.A significant part of the study is spent tracking the various structures that evolved on Point Frederick.By the time the last page is turned, and the author's biography is presented, it is already evident that, apart from his medical expertise, Banks is a graduate of the Royal Military College.He is fascinated with the architectural elements still on the site, or buried close below the surface, that pre-date the college's founding.There are frequent references which orient the discussion relative to current structures on the site.Indeed, Banks frequently juxtaposes contemporary art and maps with modern photographs to demonstrate precise locations.The illustrations are a particular strength of the volume.While this reader would have appreciated having some reproduced as full pages or even doublepage spreads, the breadth of the iconography is impressive.In many ways, Banks' discussion of the imagery in both captions and text represents the most original of the research.Eschewing a reference in image captions, the credits required over three pages in the back matter.They are often tightly cropped versions of the originals, frequently augmented with arrows or numbers to draw the eye to relevant details.The author is fortunate in the way that so many illustrators of Kingston in the era before aerial photography used the ramparts of Fort Henry from which to sketch their views, placing Navy Bay in the foreground.Moreover, the British military produced a variety of plans of their facilities in the Kingston area.The publishers are to be congratulated on using paper stock that supports quality reproductions while keeping the hardcover price relatively reasonable.Apart from a handful, the history of the vessels built at the dockyard on Point Frederick are well documented.The work of both Malcomson brothers is cited extensively, along with the many historians of "Fortress Kingston."Banks' contribution is to draw this together with the landward and underwater archaeology of the area to explore the context in which these vessels were built and maintained, and from which they sailed.As such, it is a very worthy addition to any shelf that contains volumes about the naval history of the Great Lakes.
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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 | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.002 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.006 | 0.011 |
| Insufficient payload (model declined to judge) | 0.077 | 0.029 |
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".