Alain Blum, Marta Craveri, and Valérie Nivelon, eds. Déportés en URSS: Récits d’Européens au goulag. Paris: Éditions Autrement, 2012
Bibliographic record
Abstract
This collection brings together the accounts of Europeans deported to the Soviet Gulag, understood both as labor camps and forced relocation settlements. It is the result of a wonderful multimedia project that draws on the expertise of a dozen scholars from eight countries. Thanks to their work, we have the testimony of more than 160 individuals who were victims of the Soviet practice of forced deportation from 1939 to 1950. The project is multimedia in that it stems from a Radio France Internationale series that presented the interviews of deportees and an outstanding website. The latter allows the general public to trace the experience of deportees with the help of excerpts from filmed interviews, personal papers like photographs and diaries, as well as maps and official documents. This allows viewers to appreciate the individual experiences of deportees in their wider historical context. The volume under review is a companion to the radio series.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.003 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".