The Battle of the Seelow Heights, April 1945: conflict archaeology in the forests of Eastern Brandenburg, Germany
Bibliographic record
Abstract
During the final days of World War II, the Red Army’s Berlin Operation culimnated in the capture of the Reich’s capital and the unconditional surrender of the Wehrmacht. Between 16 and 19 April 1945, the most intense fighting of the operation ensued in what is now called the Battle of the Seelow Heights. Due to the vast quantities of men and matériel involved in the fighting, an extensive militarised landscape has developed within the forests of East Brandenburg that has largely evaded archaeological scrutiny. A combination of airborne laser scanning data, archival research, and GIS-analysis reveals a highly diverse archaeological assemblage, including trenches, firing positions, dugouts, logistics facilities, along with other types of war- and conflict-related infrastructure. This unprecedented degree of preservation distinguishes the Seelow battlefield from other WWII contexts in Europe and provides a unique opportunity to investigate the combat activities and supply infrastructures of two combatting forces.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".