Bibliographic record
Abstract
In 2003, the State Administration of Radio, Film and Television (SARFT) determine those network development years and released a policy document. This indicates that management is aware of the importance of pay TV and digital TV and hoping to promote the development of network services and system integration, and change the business model of the radio and television industry has long rely solely on advertising. As of July 2009, approved by the State Administration of Radio, Film and Television to set up a pay TV channel has 142 units, divided into two categories broadcast on nationwide broadcast and province. In 7 years, the national digital pay TV channels from scratch, from small to large, from more than 20 of the initial development to the current level of 142, the number increased by 7 times. Judging from the number of digital pay channels have begun to take shape, the categories covered very rich. But from the overall development situation of Chinese digital TV, pay-TV channels, the number of users is far less than the (wired) digital TV subscribers, the development is very optimistic. 2010 cable industry revenues constitute the revenue of the premium channels is also very small. At present, China has a number of pay-TV channels integrated operating agencies, the premium channels transmission operators institutions user access and pay channels, operations, CCTV and local TV stations to form a pay channels.
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 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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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".