The Current Situation and Strategy for the Building of State Leaders' Public Image: Based on the Investigation for College Students' Identification Degree on the Building of State Leaders' Public Image
Bibliographic record
Abstract
Globalization has triggered a holistic change in today’s world, and the emergence of new media has also broken the closed system of political communication in China so that it is altering the political communication environment to a certain extent and colonizing the effective mechanism for the communication of the state leaders’ public image, which creates specific and stereoscopic image of the state leaders vividly from all-around and multiple directions, making college students deepen our understanding about the state leaders in the common social world. And it is invisibly narrowing the distance between the state leaders and college students in order to realize the two-way interaction between state leaders and the public. Therefore, college students’ individual development and the building of the state leaders’ new image proceed simultaneously, which is bound to produce unexpected interaction, so we need to encourage the reconciliation between college students’ self-identity and social identity. It is regarded as the new measure to establish a new image of the state’s leaders.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 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".