Bibliographic record
Abstract
Before the archives containing files on Soviet security policy were declassified in the mid-1990s, authors who explored the conflict in the borderlands based their studies on the memoirs of Soviet partisans and nationalist guerrillas, propaganda pamphlets printed by the resistance and the Soviets, a few Soviet documents captured by Germans and nationalists, and reports of the German counterintelligence. None of these sources yielded much information on Soviet counterinsurgency, and most distorted other aspects of the conflict. The memoirs of Red partisans, sanitized by censors, had to fulfill the order of the Communist party to maintain the myth of an all-people's war against the German invaders. Their authors exaggerate the popular support partisans enjoyed; they rarely mention the nationalist opposition that in some regions was stronger than the German one, and if they do, they inaccurately portray the nationalists as mere German pawns. Since few former partisans survived until Perestroika, no important memoirs emerged when censorship ended in the former Soviet republics. Although some memoirs published in the Soviet Union are more honest than others, they have limited value as primary sources.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.043 | 0.003 |
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; both teacher heads agree on what is shown here.
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".