A Portrait of the Soldier as a Young Man: Ernst Jünger at Fresnoy, April 1917
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.005 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".