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Record W4409916366 · doi:10.21983/p3.0098.1.09

Nazi Architecture as Affective Weapon

2015· book-chapter· en· W4409916366 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

VenuePunctum Books · 2015
Typebook-chapter
Languageen
FieldSocial Sciences
TopicEuropean history and politics
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsNazismArchitectureComputer securityPsychologyComputer scienceHistoryArchaeologyGerman

Abstract

fetched live from OpenAlex

One of Adolf Hitler’s most cherished dreams was to build the largest monument ever created. With the guidance of “the chief architect of the Reich,” Albert Speer, he planned to remake Berlin around what he saw as the future core of the Germanic empire: the People’s Hall (Volkshalle), a dome that was to be 290 meters (950 feet) high and able to accommodate 180,000 people. Hitler was so “obsessed” with his gigantic dome, Speer wrote, that he was “deeply irked” when he learned that the Soviet Union had begun constructing an even larger building in Moscow: the Palace of the Soviets. This palace was to be 495 meters (1,624 feet) high and was to be crowned with a huge statue of Lenin. Hitler was furious, for he felt “cheated of the glory of building the tallest monumental structure in the world.” When Hitler ordered the invasion of the Soviet Union in 1941, Speer realized that “Moscow’s rival building” had preyed on Hitler’s mind “more than he had been willing to admit.” As the German armies advanced toward Moscow, Hitler said: “Now this will be the end of their building once and for all."

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.754
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.003

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 head0.042
GPT teacher head0.284
Teacher spread0.241 · 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