MétaCan
Menu
Back to cohort
Record W4324359702 · doi:10.1080/15740773.2023.2183784

The Battle of the Seelow Heights, April 1945: conflict archaeology in the forests of Eastern Brandenburg, Germany

2022· article· en· W4324359702 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Conflict Archaeology · 2022
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicArchaeological Research and Protection
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsBattleSurrenderArchaeologyScrutinyHistoryConflict archaeologyBattlefieldWorld War IIGeographyAncient historyPolitical scienceLaw

Abstract

fetched live from OpenAlex

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.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.171
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.003
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.028
GPT teacher head0.261
Teacher spread0.233 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it