Replication Data for: Examining public support for Ukraine’s defense against autocratic aggression
Bibliographic record
Abstract
Russia’s invasion of Ukraine challenges the liberal international order and tests the capacity of Western democracies to maintain long-term military and financial aid for Ukraine in a foreign war. Understanding whether governments’ pledges of resolve are backed by their citizens is crucial for the credibility of these commitments. Here we show, based on survey experiments with 10,011 respondents in the United States, the United Kingdom, Germany, France, and Italy, that these countries’ publics share a similar pattern of preferences. In all countries, citizens strongly endorse Ukraine’s sovereignty and self-determination while weighing human suffering and conflict escalation risk, but less so economic costs. However, within countries, attitudes are polarized: roughly one quarter of citizens with pro-Western orientations show firm resolve, whereas another quarter with anti-Western views remain largely indifferent to political outcomes for Ukraine. These divisions indicate that democratic party competition could constrain the unity and durability of Western resolve against autocratic aggression.
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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 | 0.017 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.112 | 0.090 |
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".