Bibliographic record
Abstract
Big countries and major markets are often proposed as models for TV broadcasting everywhere. This is evident in the development of European media policies and strategic renewal. It is taken for granted that such offer suitable and desirable models for smaller countries. This book questions that assumption on the basis of empirical research. Does a media market in a country with a few million people and far less GDP have the same opportunities as countries with many times the population or wealth? Does the same logic apply in all cases? The need for clarification is urgent given contemporary trends in ex ante regulation, and aggressive media lobbying that rests on an untested belief that one-size-fits-all.The research and analyses presented in this book confronts the presumption, concluding that in crucial respects one-size policies do not fit all countries anymore than one-size strategies fit all companies. There are important differences in size-related factors that establish limits in how TV broadcasting can be organised and operated. The book will reward close attention by policymakers and strategic managers alike, and makes a timely contribution to scholarship on the topic.
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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 | 0.000 | 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".