Masters of the Channel Night: The 10th Destroyer Flotilla’s Victory Off Ile De Batz, 9 June 1944
Bibliographic record
Abstract
It was a dark and somewhat stormy night. In the western English Channel, off the Ile de Batz, twelve destroyers, eight Allied (including two Canadian) and four German, hurtled towards each other at a combined speed of 47 knots. Radar, penetrating the black murk ahead of the Allied ships, detected hostile contacts at ten miles range and the force deployed for action. Minutes later they opened devastating fire upon a startled enemy.\nThe battle that ensued on the night of 9 June 1944 was the raison d’etre of the 10th Destroyer Flotilla, a destroyer strike force based on Plymouth. When planning the Normandy invasion Allied naval commanders recognized that although Kriegsmarine surface forces represented only a limited threat to the beachhead, powerful destroyers based in Bay of Biscay ports could wreak havoc on vulnerable build-up convoys crossing the Channel. But, because of the dominance of Allied air power, enemy destroyers came out only in the hours of darkness. Therefore, to win control of the western Channel, the 10th DF had to master the difficult art of night fighting.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.015 | 0.012 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 0.000 |
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".