Unequal access: wealth as barrier and accelerator to citizenship
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
Combining insights from the history of citizenship with contemporary legal analysis, this article both highlights and problematizes what we may call sorting strategies – restrictive closure and selective openness – which rely on ‘varieties of affluence’ (income, wealth, equity, credit, and the like) in shaping possibilities for entry, settlement, and naturalization. By emphasizing the growing significance of income barriers and thresholds on the one hand, and fast-tracked investment-based entryways on the other, this article investigates the role of wealth as both accelerator and barrier to citizenship, contributing to the varied toolbox used by governments to advance goals that may at times appear contradictory; these tools both tighten and relax the requirements of access to membership at the same time. These new developments represent different facets of the same trend. Without explicitly stating as much, programs that turn wealth into a core criterion for admission conceptually reignite an older, exclusive, and exclusionary vision according to which individuals must hold property (in land, resources, or in relation to one’s ‘dependents,’ including women, slaves, and children) in order to qualify as a citizen. While such a trajectory is no stranT8ger to ancient models, it raises profound challenges to modernist accounts of political membership that place equality at their core.
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.
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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 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