Bibliographic record
Abstract
While Western society views Josef Stalin as a tyrant, in many post-Soviet countries, that is not the case. Russia and Georgia, the center of the former Soviet Union and Stalin's home country, respectively, are notable examples. This work will determine the roles of citizens and social media sites in interpreting Stalin's legacy and serve as an initial piece of research into the intersection of memory politics, social media, and post-Soviet states. I compare social media posts with each country's official narrative toward Stalin and determine that Russian and Georgian governments approach him differently, with Russia presenting him positively, and Georgia not having a cohesive official narrative. Findings were that both countries support the War Hero narrative, Georgians are proud of being from Stalin's home country, and youth are becoming indifferent towards him. This work will help outline the extent to which the Soviet era still influences the modern day. This paper could not have been written without the help and support of so many people. I am very thankful to my supervisor, Dr. Jeff Sahadeo, who had endless patience for my numerous rounds of edits and who was always willing to sit down
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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 | 0.000 | 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) | 0.024 | 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".