Division at the Water’s Edge: The Polarization of Foreign Policy
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
Severe party conflict, not a high-minded suspension of politics, now prevails “at the water’s edge.” Democrats and Republicans fight pitched battles over foreign affairs. But are the two parties polarized in their substantive preferences on foreign policy, or mainly jockeying for partisan advantage? Are they polarized on foreign policy less sharply than on domestic policy? What are the sources of party polarization over foreign policy? Using a new measure of senatorial foreign-policy preferences from 1945-2010, we explore party polarization over foreign policy. We find that foreign-policy preferences have had varying relationships with party politics and general ideology. Since the 1960s, however, the parties have become increasingly polarized on foreign policy. Using a multilevel analysis, we show that foreign-policy polarization has developed in response to partisan electoral rivalry, foreign-policy events, and general ideological polarization. The analysis indicates an increasing influence of domestic politics on foreign policy.
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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.005 | 0.005 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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