Presidential Foreign Policy Networks: A Social Network Analysis of American Foreign Policy
Bibliographic record
Abstract
This paper applies practice theory to assess the evolution of American foreign policy. It does so by examining the daily schedules of President Truman. Data has been collected from the Truman Presidential Library’s daily appointments calendar. The author has reviewed the daily presidential appointments of President Truman from April 12th, 1945, the day in which President Truman assumed the role of President, to January 20th, 1953, President Truman’s final day in office. The assumption derived from practice theory is that the President will be more willing to talk to dignitaries from states they have strong relationships with, and thus the quantity of interactions will be indicative of an administration’s relationships with other states. This paper uses social network analysis to assess whether the theoretical assumptions of practice theory can effectively capture the expansion of American diplomatic relations in the post-war period described by G John Ikenberry in Liberal Leviathan and Liberal Order and Imperial Ambition. Discipline: Political Science Honours Faculty Mentor: Dr. Jean-Christophe Boucher
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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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".