On Measuring Legislative Agenda‐Setting Power
Why this work is in the frame
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Bibliographic record
Abstract
We propose a typology for measuring agenda‐setting success and failure in a legislative context. Our typology goes beyond the most commonly used measure (“rolls”) and includes the full range of agenda‐setting outcomes—rolls (opposing a proposal that subsequently passes), as well as “blocks” (opposing a proposal that is subsequently defeated), “successes” (supporting a proposal that subsequently passes), and “disappointments” (supporting a proposal that is subsequently defeated)—and thus takes into account instances of both positive and negative agenda power. We discuss these measures, and the theoretical questions surrounding them, with the hope of providing some guidance to scholars of the U.S. House, as well as those analyzing agenda power in other legislatures. As a first step in this direction, we explore variation in agenda‐setting measures in 85 American state legislative chambers, the Mexican Chamber of Deputies, and the Canadian House of Commons.
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.003 |
| 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