Bibliographic record
Abstract
Is there a left-wing foreign policy emerging in the United States? The rise of an energized and assertive left wing of the Democratic Party, and a receptive constituency within the electorate, has opened space for new political possibilities at home. In the foreign policy realm, leftist internationalism is making compelling arguments about new directions. However, there are limitations to the possible realization of a left-wing foreign policy in the US. While candidates like Sanders and Warren are distinctive in a left-wing foreign policy worldview, the practical implications of their foreign policies are consistent with post-Cold War practice. There are two important exceptions: in trade policy and in their positions on the use of military force. Here they mark a sharp break from the liberal internationalist mainstream. This paper outlines five broad principles of left internationalism, assesses the foreign policy positions of leading Democratic candidates for the 2020 nomination, and explores the long-term prospects of left-wing foreign policy in the US after 2020.
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How this classification was reachedexpand
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".