Leon Hopkins, The Pirate who Stole Scotland. William Dampier, and the Creation of the United Kingdom by Louis Arthur Norton
Bibliographic record
Abstract
The Northern Mariner / Le marin du nord providing clarification, concerning ambiguous subjects, as well as additional reading to provide readers with resources to obtain additional background.The examination of how the details of these events changed as researchers learned more, illustrate that the accounts of these battles, and how they were discussed was somewhat fluid, at the time the initial accounts were being written.In selecting the battles of Midway, Coral Sea, Java Sea, Guadalcanal, and Leyte Gulf, Grehan uses Admiralty accounts to highlight some of the most pivotal battles in the Pacific during the Second World War.Readers are able to reexamine events without the benefit -or complication -of seventy-five years of subsequent research.The original documents may not be readily accessible to all, thus offering an interesting and fresh look at key events and opportunity for future study.Admiralty reports offer a fresh resource for examining other sea battles and engagements. Michael Razer Ward, Arkansas Leon Hopkins. The Pirate who Stole Scotland. William Dampier, and the Creation of the United Kingdom.
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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 | 0.009 | 0.003 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.041 | 0.006 |
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".