Bibliographic record
Abstract
A constant aim of EU citizenship, and indeed the entire project of European integration, has always been to lower barriers and create a common space. If the complete elimination of national borders remains elusive, their importance has been diminished in striking ways by the development of EU citizenship and the ban against nationality based discrimination. Yet the barriers to free movement have been lowered in differential ways. Most citizens of EU member states now enjoy residence, employment and other rights throughout Europe. The extension of some rights to some categories of citizens of some new member states is admittedly sometimes subject to transition periods, but these expire. By contrast, third country nationals – individuals who do not hold citizenship of one of the member states, even though they may have resided for many years, or even been born in Europe – remain largely excluded from the benefits of EU citizenship. Various initiatives over the years have opened up limited rights for third country nationals. But the difficulty of enacting these rights, and current moves to more restrictive immigration and naturalization policies, highlight the continuing exclusivity of EU citizenship: immigrants migrate to national polities, and they become European only by virtue of incorporation into national states. This means that EU citizenship's transformative potential remains unrealized.
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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.017 |
| Scholarly communication | 0.008 | 0.008 |
| Open science | 0.000 | 0.006 |
| Research integrity | 0.002 | 0.003 |
| 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".