Hrovje Spajic, Schnellbootwaffe, Adolf Hitler’s Guerrilla War at Sea: S-Boote 1939- 45 by Michael Razer
Bibliographic record
Abstract
Jane's Fighting Ships 1960-61, claiming to be based on "official sources", includes categories DE and DER, Escort Ship (Destroyer Escort) and Radar Picket Escort Ship (Destroyer Escort Radar).(301) While ships of the DE category were mass produced with run-of-the-mill characteristics; by contrast, DER would be presumably include ships like USS Liberty and Pueblo and interesting modern equivalents.By excluding DE-related ships, the author misses a big piece of the story of the Anglo-American relationship during the Second World War in terms of tonnage and large numbers of relatively large ships.The effectiveness of the common naval strategy was based on a degree of interconnectedness among Canadian, US and British shipyards producing a high degree of cooperation in building and transferring escort vessels among members of the Allies.This story is only told in a fragmentary way in this largely American-centric account, which misses the value of that effort and lessons for the future.In that sense, the book is isolationist and regressive.Inclusion of DE class would also have produced better coverage of Allied cooperation, which was the real story of war at sea in the late-twentieth century and which has lessons for the future.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.003 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.009 | 0.003 |
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".