Bibliographic record
Abstract
With the plethora of books available on the Battle of the Atlantic and on German wartime U-boats, it would be reasonable to ask, why more of the same?Particularly in that Edwards' book was first issued some ten years ago.But after receiving Paterson's The U-Boat War to review and then acquiring a new printing (not a reprint, evidently) of Edwards' book about Jervis Bay's loss, I decided to reread the second in light of the tone and implications raised in Paterson's more recent assessment of the same war.In his book, Edwards has made a well-argued assessment that, in the long run, Admiral Doenitz's U-boat arm really never had an obvious or continuing chance of winning the "U-boat tonnage war."His is a wide-ranging reexamination of that back-and-forth struggle from the German perspective, rather than the usual assessment of Allied attacking ships based on aircraft reports and memories.Meanwhile, Paterson continues the emphasis on the diaries meticulously kept in Doenitz's headquarters, augmented by the Kriegstagebuchs (boat logbooks), personal reports and diaries of U-boat commanders and others.This provides a valuable and largely different view of
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".