States' positive obligation to create a favourable environment for participation in public debate: a principle in search of a practical effect?
Bibliographic record
Abstract
In its seminal decision in <i>Dink v Turkey</i>, the European Court of Human Rights recognised that States have a positive obligation, under Article 10, to create a favourable environment for participation in public debate by all persons, enabling them to express their opinions without fear. In the more than decade since, the Court has yet to clarify what the obligation is, what it <i>requires</i>, and when and how it <i>applies</i>. This article traces the recognition and development of the <i>Dink</i> principle, critiques the Court's approach to date, and explores the real-world impacts of an unfavourable information environment. It concludes with a concrete recommendation which would ensure greater cohesion within the Council of Europe and give practical effect to the <i>Dink</i> principle, while addressing polarisation, disinformation and threats against journalists: media and information literacy initiatives.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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".