Bibliographic record
Abstract
Abstract Vogue predictions that citizenship is diminishing in relevance or perhaps even vanishing outright, popular among jetsetters who already possess full membership status in affluent democracies, have failed to reach many applicants still knocking on the doors of well-off polities. One can excuse the world’s destitute, those who are willing to risk their lives in search of the promised lands of migration in Europe or America, for not yet having heard the prophecies about citizenship’s decline. But the same is not true for the well-heeled who are increasingly active in the market for citizenship: the ultra-rich from the rest of the world. They are willing to dish out hundreds of thousands of dollars to gain a freshly-minted passport in their new ‘home country.’ That this demand exists is not fully surprising given that this is a world of regulated mobility and unequal opportunity, and a world where not all passports are treated equally at border crossings. Rapid processes of market expansionism have now reached what for many is the most sacrosanct non-market good: membership in a political community. More puzzling is the willingness of governments – our public trustees and legal guardians of citizenship – to engage in processes that come very close to, and in some cases cannot be described as anything but, the sale and barter of membership goods in exchange for a hefty bank wire transfer or large stack of cash.
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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.013 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.024 | 0.001 |
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".