Bibliographic record
Abstract
The ability of a state to determine who its citizens are is a core element of sovereignty, yet even in this area coordination in the European Union has arisen as member states adjust their policies regarding citizenship acquisition and loss to take into account the European project. Furthermore, EU citizenship grants extensive rights that member states must respect, though the only way to become an EU citizen and acquire these rights remains through citizenship of a member state. This article sketches the development of EU citizenship from the 1950s to the present, mapping its evolution onto the phases of European governance utilised in this special issue. The search for closer coordination and common guidelines concerning citizenship flows from functional needs inevitably generated by superimposing a new supranational political community over existing national ones, resulting in shared governance within the framework of member state autonomy. Though welfare states and social systems in Europe remain national and jurisprudence safeguards the ability of member states to exclude individuals despite shared EU citizenship, legal judgments emphasise that member state competence concerning citizenship must be exercised in accordance with the Treaties and that member state decisions about naturalisation and denaturalisation are amenable to judicial review carried out in the light of EU law.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.006 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.011 |
| Scholarly communication | 0.006 | 0.004 |
| Open science | 0.000 | 0.005 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".