‘Ordinary Men’ in the First World War? German Soldiers as Victims and Participants
Bibliographic record
Abstract
Christoph Jahr, Gewohnliche Soldaten: Desertion und Deserteure im deutschen und britischen Heer 1914-1918, Gottingen, Vandenhoeck & Ruprecht, 1998; pp. 419; ISBN 3525357869 Klaus Latzel, Deutsche Soldaten nationalsozialistischer Krieg? Kriegserlebnis Kriegserfahrung 1939-1945, Paderborn, Sch6ningh, 1998; pp. 429; ISBN 3506744704 Aribert Reimann, Der Grosse Krieg der Sprachen: Untersuchungen zur historischen Semantik in Deutschland und England zur Zeit des Ersten Weltkriegs, Essen, Klartext, 2000; pp. 311; ISBN 3884748580 Bernd Ulrich, Die Augenzeugen: Deutsche Feldpostbriefe in Kriegsund Nachkriegszeit 1914-1933, Essen, Klartext, 1997; pp. 343; ISBN 3884745905 Benjamin Ziemann, Front und Heimat: Ldndliche Kriegserfahrungen im siidlichen Bayern 1914-1923, Essen, Klartext, 1997; pp. 510; ISBN 3884745476
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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 | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.013 | 0.020 |
| Scholarly communication | 0.009 | 0.013 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.004 | 0.003 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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.
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".