Comparison of the entry of comercial TV Nova (1993/1994) and TV Barrandov (2008/2009)
Bibliographic record
Abstract
The work presents a comparison of commercial channels TV Nova and TV Barrandov in terms of historical, economical and marketing perspectives during their entry into the television market. The survey focused on the time period of two media entry to the TV market - at about one year before and one year after the entry. TV Nova in the years 1993 - 1994 and TV Barrandov in the years 2008 - 2009. These time periods influenced late development of both TV channels. Both TV channels were chosen regarding to the important stages (eras) of the television market development during which was possible to examine the valuable differences. The Entry of TV Nova belonged to the era of transformation and privatization of the Czech media. TV Nova was the first commercial TV channel of the full format type not only in Czech Republic but in all post-communist Europe. The Entry of TV Barrandov belonged to the era of TV digitalization. This TV channel was the first full format in the era of digitalization. The work tries to find answers if different conditions of entry caused usage of different marketing tools. Furthermore, if the differences of television markets influenced later developments of both TV 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 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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.008 | 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".