Телевизионные журналы новостей и вечерние новости: сходства и различия
Bibliographic record
Abstract
The article presents the results of a content analysis of three television news magazines: «The Fifth Estate» (Canada), «60 minutes» (USA), «60 minutes» (Australia) and three evening bulletins: «The National» (Canada), «Evening news with Scott Pelley» (USA), «Nine News» (Australia). The author reviews three approaches to studying of televisions news magazines, compares the selection of topics for evening news to such of news magazines, analyses the coverage of world news and domestic news and puts together the subject categories thus determining the similarities and differences in content. The study allows us to understand genre characteristics of news magazines in the context of news content on television and identifies the role of news magazines in terms of all television news content.
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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 | 0.006 | 0.003 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.001 | 0.004 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.006 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.017 | 0.018 |
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; both teacher heads agree on what is shown here.
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".