Digital sovereignty, economic ideas, and the struggle over the digital markets act: a political-cultural approach
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Digital market regulations respond to technological changes and global dynamics, but also to how political actors shape markets. Focusing on the Digital Markets Act, this article explains the EU’s marketcraft as the result of a struggle in the policy field between political actors promoting competing economic ideas in a rapidly evolving technological and geopolitical context. We show that significant discursive and policy change in digital market governance has occurred because of shifting coalitions between three constellations of actors, which we call market-correctors, market-busters, and market-directors. Tracking the ongoing campaign to challenge Big Tech and define the meaning of digital sovereignty, we argue that market-directors have ushered in potentially comprehensive policy change.
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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 | 0.001 | 0.001 |
| 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 | 0.002 | 0.001 |
| Open science | 0.001 | 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 it