Scientifically Grasping the New Media to Promote the Popularization of Marxism
Bibliographic record
Abstract
Actively promoting the popularization of Marxism has always been an important part of the ideological and theoretical construction of the Communist Party of China (CPC). This approach has been vital for the CPC to lead its people to constantly create new situations in the development of socialism with Chinese characteristics. Currently, in the new era of comprehensively deepening reforms, the rapid development of new media has been one of the most important media tools in today’s society and also one of the significant carriers of the popularization of Marxism. The emergence and development of new media technologies provide a new platform and channel for the popularization of Marxism. Under the new media context, attaching importance to new media approaches, strengthening the talent construction, expanding the propaganda fronts, establishing the mass discourse system and improving the management system are critical to further promote the popularization of Marxism.
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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 | 0.008 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.003 | 0.016 |
| Scholarly communication | 0.009 | 0.010 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 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".