Elections for direction, sortition for judgment: a new model of bicameral democracy
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
This article proposes a new model of bicameral sortition democracy that rethinks the division of labor between elected and randomly selected bodies. Existing bicameral proposals either give sortition chambers weak or co-equal authority, limiting their ability to realize the epistemic promise of deliberative democracy. By contrast, I propose a model in which an elected chamber sets the legislative agenda and oversees deliberative fairness, while a sortition chamber holds exclusive authority to deliberate and decide policy. This design preserves the communicative and authorization functions of elections, while securing the epistemic advantages of cognitively diverse citizen deliberation. I evaluate this model against three alternatives, pure sortition, co-equal bicameralism, and subordinate sortition bicameralism, along four normative dimensions: resistance to elite capture, representation and inclusion, epistemic quality, and legitimacy and accountability. I argue that only a model that empowers citizens in their ‘post-learning’ capacity, while grounding decisions in a democratically visible and contestable process, can deliver a political system that is both legitimate and epistemically robust.
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 | 0.000 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| 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