John G. Langley, Canadian Confederate Cruiser: The Story of the Steamer Queen Victoria by Brian P. Anthony
Bibliographic record
Abstract
Reviews 121 a well-aimed stab that generally hits the mark.Those of a more academic leaning will undoubtedly appreciate the multiple detailed lists the author provides, including information on the various ships and voyages that Bullen served in throughout his career.Kennerley's detailed tracing of Bullen's movements back and forth across the world's oceans, makes it easy to see exactly why and how he came to be so genuinely sympathetic to the trials and tribulations of the common sailor.Moreover, in the absence of a biography of Bullen, Kennerley has opened up new avenues for research into the life and times of the man himself, particularly surrounding his youth that the author himself was unable to answer, nor which were the core concern of this biography.While only time will tell the true fruitfulness of such an inquiry, it would not at all be surprising for a future reader of this book to be inspired to seek to answer the lingering questions about the circumstances that forced a young Frank Bullen to sea, and what held him there until he found himself inextricably bound to it in one fashion or another for the rest of his life.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.011 | 0.005 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.020 | 0.005 |
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".