A Double Dispossession: The Crimean Tatars After Russia's Ukrainian War
Bibliographic record
Abstract
Genocide and genocidal political processes have been used by the Russian state for decades—if not centuries—as a technique of self-colonial rule intended to eliminate “dissident” ethnic identities. Within this context, the historical fate of the Crimean Tatars is surely a unique one. Despite Soviet obstructions, the Crimean Tatars eventually returned to their homeland in Crimea after suffering forced deportations and genocide at the hands of the Soviet government. Now, 70 years after their deportation and genocide by Stalin, the Crimean Tatars are still fighting for justice. Defined as an autonomous group in their own land under the Ukrainian government, the Tatars found themselves in an even more precarious position when they were forcibly transplanted back into Putin’s Russia after the 2014 Russian annexation of Crimea. In a Russian state that continues to resort to the deportation and the repression of “dissident” or otherwise politically suspect ethnic minorities, Crimean Tatars risk not only new repressions and injustices but a continuation of genocidal political and social repression.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.021 | 0.013 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".