Middlemen No More? Emergent Patterns in Congressional Leadership Selection
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
For a quarter-century, conservative Republicans have used the “San Francisco liberal” label to place Democrats as outside the American mainstream. Imagine their dismay as the 110 th Congress opened in January 2007 and Nancy Pelosi, a San Francisco Democrat well to the left of most of her party, ascended to the podium as speaker of the United States House of Representatives. This was, to be sure, a departure. Traditionally, House Democrats had selected ideological “middlemen” for top leadership posts (Truman 1959), particularly those from the “Austin-Boston alliance” that held unbroken sway in House Democratic leadership selection from the initial teaming of Speaker Sam Rayburn of Texas and Majority Leader John McCormack of Boston in 1940 to that of Tip O'Neill of Boston and Texan Jim Wright in the 1970s and 1980s. During this time, Democrats “almost never” selected “‘Americans for Democratic Action-type’ liberals” as leaders (Peabody 1976, 470).
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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