Between Loyalty, Chechen Nationalism, and Regime Survival: A Discourse Analysis of Kadyrov’s Telegram Channel during Russia’s Invasion of Ukraine
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 analyzes 2,098 posts from Ramzan Kadyrov’s Telegram channel “Kadyrov_95” between February 24, 2022, and October 16, 2023, to examine how he uses the Russo-Ukrainian war to consolidate power. Using Natural Language Processing, it reveals how Kadyrov’s messaging centers on glorifying his father, Akhmat Kadyrov, to legitimize his rule. The study explores how social media reinforces Kadyrov’s loyalty to Vladimir Putin, amplifies his federal political influence, and secures regime durability. The war serves as a strategic platform for promoting Kadyrov’s family members, reinforcing his cult of personality, and strengthening control over Chechnya.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 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