From Soldier-Poet to Veteran Memoirist: Siegfried Sassoon, The Complete Memoirs of George Sherston, and the Limits of Life-Writing in Prose
Bibliographic record
Abstract
The Complete Memoirs of George Sherston is a key text supporting Siegfried Sassoon’s reputation as Britain’s pre-eminent Great War-writer. Critics have nevertheless reached no consensus as to whether these lightly fictionalised “memoirs” represent true accounts of Sherston’s/ Sassoon’s war or fictional constructions. They have also yet to account for the differences between the Memoirs and Sassoon’s war-poetry, and between Sherston’s stated commemorative goals and his complete account. This article dissects the Memoirs’ adaptation of Sassoon’s front-line poetics of commemoration: it reads their new application of this poetics via his compositional difficulties, his dependence upon his own wartime writings, and life-writing’s uneasy relationship to truth. As I show, Sherston has more in common with his author than Sassoon intended, but differences remain; still, his memoirs have as much right to that appellation as any other text in the language.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
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 teacher head, 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".