The Digital Contestation of Racialized Nationhood in Russia
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This article offers an account of how digital-media communication enables the negotiation of nationhood from the bottom up. It explains how conservative understandings of national belonging can be challenged and co-constructed in the process of public communication over a given discursive event. Using a discourse-historical approach and multimodal critical discourse analysis focused on Manizha’s performance on the Eurovision Song Contest, the author shows the role of race, gender, citizenship, and origins for the construction of a sense of national belonging in the Russian Federation right on the eve of the full-scale war with Ukraine. The author argues that despite the commonly shared racialized understanding of Russian nationhood and the state-imposed conservative values that shape it, there was a dynamic toward a more inclusive understanding of national belonging that was advanced by some popular celebrities and picked up, bottom-up, by minority groups and liberal-minded RUnetizens.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it