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Record W2778408025

A Portrait of the Soldier as a Young Man: Ernst Jünger at Fresnoy, April 1917

2017· article· en· W2778408025 on OpenAlexvenueno aff
Markus Pöhlmann

Bibliographic record

VenueJournal of military and strategic studies · 2017
Typearticle
Languageen
FieldArts and Humanities
TopicLiterature and Cultural Memory
Canadian institutionsnot available
Fundersnot available
KeywordsBattleHistoryBiographyGermanOffensiveFront (military)MemoirNarrativePortraitArt historyAncient historyLiteratureArtOperations researchGeographyArchaeology
DOInot available

Abstract

fetched live from OpenAlex

Storm of Steel, the 1920 memoirs of the German writer Ernst Jünger, counts among the earliest and most momentous pieces of Great War literature. Jünger served as a highly decorated junior officer on the Western Front. His accounts on the Battle of the Somme and the German Spring Offensive of 1918 established an enduring and politically viral narrative of the battle-hardened stormtrooper. It is less known that the author also took part in the Battle of Vimy Ridge.The aim of the paper is, first, to trace the writer’s involvement in the Battle of Arras and, second, to contextualize these events within the framework of his military biography. Building on new sources – Jünger’s recently edited original diaries - , this article argues that the events of April 1917 might serve in a particular way to understand individual strategies of survival in Western Front warfare not only with regard to Jünger’s biography but also in a much more general sense.

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 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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.139
Threshold uncertainty score0.833

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.064
GPT teacher head0.274
Teacher spread0.209 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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
Published2017
Admission routes1
Has abstractyes

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