New Year Address as a Genre of Political Discourse: Political and Linguistic Research (On the Material of Chinese President Hu Jintao and Xi Jinping)
Bibliographic record
Abstract
The urgency of the problem under investigation is due to the increased role on the world stage of the People's Republic of China and the Chinese political leaders. The purpose of this article is to disclose by means of a detailed analysis the New Year congratulations not only of the linguistic portrait of Hu Jintao and Xi Jinping, but also the main achievements and new directions in foreign and domestic policy of the country. The leading approaches to research this problem are a descriptive method; analytical method; comparative and comparative-historical methods which allowed to disclose and analyze fully the content of speeches of Presidents of the People's Republic of China. In the given article we consider the journalistic style as one of makrostyles of the Chinese language; official texts of New Year speeches of political leaders of the People's Republic of China in the XXI century are studied and analyzed fully; stylistic, specific and political features in Hu Jintao and Xi Jinping's speeches are revealed. The materials of the article can be useful for experts, engaged in studying not only Chinese stylistics, but also the Russian-Chinese relations at the present stage, for employees and teachers of humanitarian disciplines of higher education institutions and research centers. It is also recommended for undergraduate students, post-graduate students and students of the higher school with profound research preparation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.004 | 0.004 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".