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Record W4409916366 · doi:10.21983/p3.0098.1.09

Nazi Architecture as Affective Weapon

2015· book-chapter· en· W4409916366 on OpenAlexaff
Gastón Gordillo

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.010
Threshold uncertainty score0.042

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.011
Scholarly communication0.0050.004
Open science0.0000.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0100.003

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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2015
Admission routes1
Has abstractyes

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