A Problem-Based Approach to Democratic Theory
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
Over the last few decades, democratic theory has grown dramatically in its power and sophistication, fueled by debates among models of democracy. But these debates are increasingly unproductive. Model-based strategies encourage theorists to overgeneralize the place and functions of ideal typical features of democracy, such as deliberation or elections. Here I sketch an alternative strategy based on the question: What kinds of problems does a political system need to solve to count as “democratic”? I suggest three general kinds: it should empower inclusions, form collective agendas and wills, and have capacities to make collective decisions. We can view common practices such as voting and deliberating as means for addressing these problems, and theorize institutional mixes of practices that would maximize a political system's democratic problem-solving capacities. The resulting theories will be both normatively robust and sufficiently fine-grained to frame democratic problems, possibilities, and deficits in complex polities.
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 | 0.006 | 0.015 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.017 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 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