Electoral incentives to coalition formation in multiparty presidential systems
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
Coalition theories of presidential regimes have frequently assumed that coalition formation is a mostly post-electoral phenomenon. We challenge this view by showing that pre-electoral bargaining shapes to a substantial extent minority presidents’ disposition to cooperate with the legislature by forming a majority cabinet. Examining a dataset of pre- and post-electoral coalitions from 18 Latin American countries, we find that majority coalition cabinets are more likely to occur when elected presidents form pre-electoral coalitions (PECs), to the extent that pre-electoral agreements create stronger incentives for cooperation, by relying on a broader set of rewards than any post-electoral agreement. Moreover, we find that the likelihood of majority coalition formation increases as the share of PEC seats increases, thus reducing the need to engage in post-electoral bargaining. Our findings carry important implications for the study of cabinet formation in presidential regimes by introducing pre-electoral agreements as a key determinant of cabinet formation.
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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 | 0.000 | 0.000 |
| 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