Stalingrad Statues and Stories: War Remembrance in Andreï Makine’s<i>The Earth and Sky of Jacques Dorme</i>
Bibliographic record
Abstract
This article examines representations of war remembrance in the francophone Russian writer Andreï Makine’s novel La terre et le ciel de Jacques Dorme [The Earth and Sky of Jacques Dorme, 2003]. The novel portrays events and experiences of World War II from three temporal perspectives: that of the eponymous French pilot, who flies transports for the Soviets in the Alaska-Siberia air bridge during the war; that of the narrator as a child, who witnesses the construction of Stalingrad monuments and the emergence of the Soviet war cult in the mid-1960s; and that of the adult narrator, who searches for Dorme’s remains in post-Soviet Russia and seeks to commemorate the nowforgotten pilot by writing about his life. Makine portrays official monuments and commemoration of the Battle of Stalingrad as attempts on the part of the Soviet state to manipulate the collective memory. By contrast, he depicts individual remembrance as a more authentic alternative to collective commemorative practices. This article interprets Makine’s depiction of war remembrance against the background of the Soviet war cult, showing how the novel privileges individual over collective memory. It argues that Makine represents individual oral and written narratives in particular as an alternative to official histories and public commemoration.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.014 | 0.011 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".