The Most Dynamic Club: Vandenberg, Fulbright, Helms, and the Activism of the Chairman of the US Senate Foreign Relations Committee
Bibliographic record
Abstract
Relying on a multilevel approach to the behavior of members of Congress, this article explains why Arthur Vandenberg, J. William Fulbright, and Jesse Helms were particularly active chairs of the Senate Foreign Relations Committee. It draws parallels between their careers and shows that similar factors explain why they were active: (a) crucial international events convinced them to play a leading role in the foreign policy debate; (b) the US political and social environments created policy windows for their activism; and (c) they possessed the necessary skills, interests, and convictions to play such a role. Our approach also explains why the three chairs displayed different types of activism (Vandenberg relied on legislative and nonlegislative collaboration with Harry Truman, Fulbright primarily on nonlegislative opposition to Lyndon Johnson, and Helms on legislative and nonlegislative opposition to Bill Clinton). Furthermore, this article explains why Fulbright was less successful than Vandenberg and Helms in convincing Congress and the President to adopt key legislations he introduced in the Senate.
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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 | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.010 | 0.005 |
| Scholarly communication | 0.009 | 0.003 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 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".