Die Digitalisierungsstrategie der Europäischen Union – Meilensteine und Handlungsfelder zwischen digitaler Souveränität und grüner Transformation
Bibliographic record
Abstract
Digital transformation has been accelerated by the COVID-19 pandemic. Today, it affects almost all areas of social and economic life. As a cross-cutting issue and solution to specific challenges, it is also increasingly the subject of initiatives at EU level. Since 2015, the EU has developed a comprehensive digital agenda that involves various areas, ranging from the single market to foreign and security policy. The paper traces the dynamic development on the basis of strategy documents and policy guidelines in three phases with a focus on 2020 and 2021. It takes stock of the EU’s overarching strategy towards digitalisation by examining what the EU understands by it, what its goals are, and what role it draws for itself in shaping the digital transformation. The study shows that the EU tries to grasp digitalisation in a substantial number of policy-specific strategies and guidelines, using mainly four patterns of interpretation - partly in parallel - which differ in terms of geopolitical, environmental, socio-political and economic policy framing.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.003 | 0.010 |
| Scholarly communication | 0.014 | 0.008 |
| Open science | 0.000 | 0.006 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".