Electoral Incentives in Mixed-Member Systems: Party, Posts, and Zombie Politicians in Japan
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
How do electoral incentives affect legislative organization? Through an analysis of Japan's mixed-member electoral system, we demonstrate that legislative organization is strongly influenced not only by the individual legislators reelection incentives but also by their interest in their party gaining power and maintaining a strong party label. Electorally vulnerable legislators are given choice legislative positions to enhance their prospects at the polls, whereas (potential) party leaders disproportionately receive posts with greater influence on the party's overall reputation. Members of Parliament elected from proportional representation (PR) lists and in single member districts also receive different types of posts, reflecting their distinct electoral incentives. Even small variations in electoral rules can have important consequences for legislative organization. In contrast to Germany's compensatory mixed-member system, Japan's parallel system (combined with a “best loser” or “zombie” provision) generates incentives for the party to allocate posts relating to the distribution of particularistic goods to those elected in PR.
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 | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.004 |
| 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