Table is 12 ’ x 4’, each light grey gridline is 2’. Note that North is to the Right
Bibliographic record
Abstract
Operation Goodwood was an attempt by the British, Canadian and Polish forces to breakout from around the strategic city of Caen. The attack on July 18th was to be a tightly focused punch by some 750 tanks to the east of Caen, from the narrow base established by the 6th Airborne, over the Orne, across cornfields, over two railway lines and up towards the well defended ridge at Bourguebus. On the 18th July, preceded by a massive bombing and artillery bombardment, three armoured divisions drove hard for the objective. The lead armoured division was 11th Armoured with its regiments in line astern, led by 3rd Royal Tank Regiment’s Shermans. Assigned the right flank of the offensive, 3 RTR must advance beyond the devastated front line units into the heart of the German defences and take Bourguebus ridge before the Germans of 21st Armoured Division can organise and respond. The scene is set for the largest British tank action of the war. Game length 15 turns, the British move first Victory points British add 1 pt for each tank exiting the southern table edge and subtract 1 pt for each tank destroyed
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.768 | 0.568 |
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; the direct Gemma label and the distilled Codex classifier 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".