Kenneth V. Jack, Eyes of the Fleet Over Vietnam. RF-8 Crusader Combat Photo- Reconnaissance Missions by Robert L. Shoop
Bibliographic record
Abstract
Reviews 417 was extreme and Berkeley Castle was "written off."Training incidents saw several losses with the Motor Launch ML 2582 sunk, with only one survivor, when a Dutch F-84 aircraft failed to pull up during a mock attack and crashed into the vessel.The Australian destroyer HMAS Voyager was sunk during a collision with the aircraft carrier HMAS Melbourne during nighttime flying exercises in February 1964 with the loss of 82 of the ship's company.The book ends with the analysis of the Royal Navy losses in the 1982 Falklands War.The RN lost two destroyers, two frigates, a landing shiplogistics, and a landing craft medium in this short but sharp conflict.Several other RN ships were damaged in this "close run" short war.For those seeking more information on British ship losses in the Falklands, the recently published Abandon Ship: The real story of the sinking's in the Falklands War by Paul Brown is an interesting and sobering read.I noticed a few minor glitches in the book such as the omission of the RAN minesweeper HMAS Warrnambool, sunk in September 1947 while conducting post-war mine clearance.Additionally, for completeness, in the Falklands War section, inclusion of the loss of Atlantic Conveyor (taken up from trade and with a mixed RN/merchant navy crew) could have been considered.That said, this is an excellent reference book for the naval historian and those with an interest in the war at sea during the Second World War.Highly Recommended.
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 | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.064 | 0.021 |
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".