Between the "Self" and the "Other": Representations of Ukraine's Russian-speakers in Social Media Discourse
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 paper analyzes the images of Ukraine’s Russian-speaking citizens as they appear in Ukrainian users’ posts on Facebook. Based on a systematic examination of the accounts of twelve prominent pro-Maidan personalities, my analysis pays attention to both the self-representations of those Ukrainians who primarily rely on the Russian language and to their representations by those individuals who locate themselves outside of this group. I argue that what usually appears in the self-representations as merely a facet of communicative practice is often perceived by others as a crucial element of social identity. While the self-representations do not undermine Russian-speakers’ identity as Ukrainians, the other-representations often do, thus questioning their belonging to the imagined national Self. Such opposing representations of Russian-speakers manifest different perceptions of the Ukrainian nation and the role of the Ukrainian language in this identity, and thus different ideologies of nationhood and language more generally.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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