Representation, Bicameralism, Political Equality, and Sortition: Reconstituting the Second Chamber as a Randomly Selected Assembly
Bibliographic record
Abstract
The two traditional justifications for bicameralism are that a second legislative chamber serves a legislative-review function (enhancing the quality of legislation) and a balancing function (checking concentrated power and protecting minorities). I furnish here a third justification for bicameralism, with one elected chamber and the second selected by lot, as an institutional compromise between contradictory imperatives facing representative democracy: elections are a mechanism of people’s political agency and of accountability, but run counter to political equality and impartiality, and are insufficient for satisfactory responsiveness; sortition is a mechanism for equality and impartiality, and of enhancing responsiveness, but not of people’s political agency or of holding representatives accountable. Whereas the two traditional justifications initially grew out of anti-egalitarian premises (about the need for elite wisdom and to protect the elite few against the many), the justification advanced here is grounded in egalitarian premises about the need to protect state institutions from capture by the powerful few and to treat all subjects as political equals. Reflecting the “political” turn in political theory, I embed this general argument within the institutional context of Canadian parliamentary federalism, arguing that Canada’s Senate ought to be reconstituted as a randomly selected citizen assembly.
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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 | 0.007 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.035 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.003 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 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".