Bibliographic record
Abstract
This is the story of the 17-pdr Achilles and the Jagdpanther, two formidable tracked anti-tank guns that clashed in North-West Europe during 1944–45. Both mounting their country’s most effective anti-tank ordnance on a tracked chassis, the 17-pdr Achilles and the Jagdpanther were arguably the best self-propelled anti-tank guns used by the British, Canadian and German forces that fought in North-West Europe during 1944–45. Featuring specially commissioned artwork and carefully chosen photographs, this is the story of the two types’ development, combat use and legacy in the closing stages of World War II in North-West Europe. Based upon the mobile, lightly armoured M10 design originally developed for the US Army, the Achilles had its main armament, the 17-pounder QF anti-tank gun, mounted in a fully revolving turret. Conversely, the low-profile, heavily armoured Jagdpanther had its formidable 8.8cm PaK 43 cannon mounted in a fixed casemate. Both crewed by artillerymen rather than tankers, the Achilles and the Jagdpanther were anti-tank guns, not tanks or assault guns; their main purpose was to knock out enemy tanks, not to engage infantry or lead an assault or pursuit. Sometimes they faced each other, notably in the Reichswald fighting of February 1945. Fully illustrated, this work tells the story of their development and tactical use as well as what happened when these two very different designs met in combat.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.007 | 0.004 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.041 | 0.006 |
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".