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Record W2272760178 · doi:10.4000/ifha.899

KATER, Michael H., KRAUSE, Jürgen Peter, Hitler-Jugend

2013· article· fr· W2272760178 on OpenAlexaffabout
Nicolas Le Moigne

Bibliographic record

VenueRevue de l’Institut français d’histoire en Allemagne · 2013
Typearticle
Languagefr
FieldArts and Humanities
TopicFrench Historical and Cultural Studies
Canadian institutionsInstitut d'Histoire de l'Amérique Française
Fundersnot available
KeywordsPhilosophyTheologyArt

Abstract

fetched live from OpenAlex

L'historien canadien M.K, dont les travaux sur les médecins nazis et la musique sous le IIIème Reich sont désormais célèbres, nous gratifie ici d'une belle synthèse sur l'un des piliers du régime nazi.En canalisant le mythe messianique de la jeunesse et le culte de l'énergie omniprésent dans les mouvements allemands de jeunes dès le début du XXe s., la HJ apparaît comme un rouage central de la tentative d'intégrer les masses à la Volksgemeinschaft en broyant les autres formes d'appartenance, et notamment la famille.

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)0.004
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: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.037
Threshold uncertainty score0.075

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.003
Scholarly communication0.0050.007
Open science0.0010.002
Research integrity0.0030.004
Insufficient payload (model declined to judge)0.0220.009

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 head0.016
GPT teacher head0.198
Teacher spread0.182 · 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

Citations0
Published2013
Admission routes2
Has abstractyes

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