The author and protagonist in Demons : similarities in communication style and functions
Bibliographic record
Abstract
Fedor Dostoevskii and Petr Verkhovenskii, the author and one of the main protagonists of the novel Demons, exhibit the same communication style and pursue similar propagandistic purposes in their public communication. Both figures function in the framework of public relations, employing mass communication for the sake of publicizing their political messages to broad audiences. In the process of their public communication, the author and the hero of the novel merge literature and journalism, fictional and factual discourse, subvert a critical analysis of their respective messages and encourage an unconditional, if unwarranted, acceptance of their communication. Relying on the theoretical findings of John Austin, Jurgen Habermas, as well as using the theoretical models of mass communication, the present study shows the underlying bond between Dostoevskii and Petr Verkhovenskii in terms of their communication style despite the ideological gulf that separates the two seemingly irreconcilable sides.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.009 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".