The Politics of Unconditional Basic Income: Bringing Bureaucracy Back In
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
We challenge the view, typically assumed by advocates of unconditional basic income (UBI), that its administration is uncontroversial. We identify three essential tasks which, from the point of view of the administrative cybernetics literature, any income maintenance policy must accomplish: defining criteria of eligibility, determining who meets such criteria and disbursing payments to those found to be eligible. Building on the work of Christopher Hood, we contrast two alternative ways in which the design of a UBI might apply the principle of ‘using bureaucracy sparingly’ to the performance of each of these three tasks. Relating these alternative designs to the politics of basic income, we show a correspondence between contrasting senses of using bureaucracy sparingly and ‘redistributive’ and ‘aggregative’ UBI models.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 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