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Record W3124715822 · doi:10.7202/1072984ar

La théorie des ruines d’Albert Speer ou l’architecture « futuriste » selon Hitler

2020· article· en· W3124715822 on OpenAlexaffvenue
Johanne Lamoureux

Bibliographic record

VenueRACAR Revue d art canadienne · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicDeath, Funerary Practices, and Mourning
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsNazismArt historyNazi GermanyArchitectureRomanceArtRelation (database)GermanGloryParadiseRomanticismPhilosophyHumanitiesHistoryLiteratureVisual artsArchaeology

Abstract

fetched live from OpenAlex

This article reflects upon a few pages of Albert Speer’s memoirs on the Third Reich, in which the man who was Hitler’s first architect from 1934 to 1942, after a twenty-year term of imprisonment, offers his theory on the value of ruins. The architect himself considered this an active factor in establishing his privileged relation to the Führer , a theory that conceived the Reich’s official buildings in view of the beautiful ruins they would produce after centuries of neglect. This projective (instead of retrospective) treatment of the ruins, of which the modern period offers many an example, becomes a pressing issue with such a cumbersome and fundamentally anti-modern heritage as Third Reich constructions. Speer’s anticipation of the Antique- cum -Romantic inspired ruins was to impose stylistic, economic and pragmatic constraints on his projects for which the functional necessities of the present became less important than the programmed revelation of Nazi imperial glory. The counterpart (both real and symbolic) of ruins was to be found in the architectural debris of modern European cities produced under the competent care of Hitler’s first architect made armaments minister in 1942: Albert Speer.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.988
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0050.022
Scholarly communication0.0040.004
Open science0.0010.002
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0040.001

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 head0.260
Teacher spread0.232 · 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 designNot applicable
Domainnot available
GenreEmpirical

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

Citations2
Published2020
Admission routes2
Has abstractyes

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