A Research of West China Metropolitan Daily Wide Media Integration Development Mode
Bibliographic record
Abstract
In the Internet era, new media swept in with large amount of information and had huge influences on audiences and traditional media. On the one hand, its appearance makes the issuing channels and content of information diversified and it can satisfy audiences’ demands on obtaining information rapidly; on the other hand, when new media are attracting more and more audiences, they have formed unprecedented shock to traditional media, especially paper media. Therefore, some people begin to lose faith in paper media, and speeches of “paper media are dying” arise. In order to break the ice and realize new development, numerous traditional media also ushered in the coming of wide media through media integration. As the first metropolitan daily in China and the local metropolitan daily in Sichuan Province— West China Metropolitan Daily is reforming boldly and resolutely under new normal state. This paper aims to observe and discuss the wide media propagation mode of West China Metropolitan Daily.
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How this classification was reachedexpand
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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".