Regulating Communications: British Public Policy Responses to Convergence within the Digital Age
Bibliographic record
Abstract
The British Labour government believes that Information Communication Technologies (ICTs) will facilitate future forms of production, services, and investment within the national and global economies. However, it remains unclear how the government can establish the appropriate national regulatory structures through which to supervise the virtual economy. The sector-specific definitions which have existed between the audiovisual and e-commerce industries are less appropriate and, with the expansion of distribution, audiovisual markets are assuming the characteristics of the telecommunications markets. This report will consider British public policy initiatives for the regulation of the converging ICTs and the audiovisual industries. It will pay attention to the Department of Culture, Media and Sport (DCMS) and the Department of Trade and Industry's (DTI) jointly produced 1998 Green Paper Regulating Communications: Approaching Convergence in the Information Age.
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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 | 0.020 | 0.047 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.003 | 0.005 |
| Science and technology studies | 0.013 | 0.015 |
| Scholarly communication | 0.017 | 0.007 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.030 | 0.015 |
| Insufficient payload (model declined to judge) | 0.006 | 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".