Digital media policy options for strengthening European democracy
Bibliographic record
Abstract
In this report, we identify some policy options available for the European Commission and for European Union member states should they wish to create a more enabling environment for independent professional journalism going forward. Many of these options are relevant far beyond Europe and demonstrate what democratic digital media policy could look like. We argue that, to thrive, independent professional journalism needs freedom, funding, and a future. To enable this, media policy needs (a) to protect journalists and media from threats to their independence and to freedom of expression, (b) to provide a level playing field and support for a sustainable business of news, and (c) to be oriented towards the digital, mobile, and platform dominated future that people are demonstrably embracing – not towards defending the broadcast and print-dominated past.
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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 | 0.026 | 0.036 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.005 | 0.006 |
| Scholarly communication | 0.023 | 0.024 |
| Open science | 0.002 | 0.011 |
| Research integrity | 0.019 | 0.008 |
| Insufficient payload (model declined to judge) | 0.027 | 0.004 |
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".