Bibliographic record
Abstract
According to a widely shared notion, foreign affairs are exempted from democratic politics, i.e., party-political divisions are overcome—and should be overcome—for the sake of a common national interest. This book shows that this is not the case. Examining votes in the US Congress and several European parliaments, the book demonstrates that contestation over foreign affairs is barely different from contestation over domestic politics. Analyses of a new collection of deployment votes, of party manifestos, and of expert survey data show that political parties differ systematically over foreign policy and military interventions in particular. The left/right divide is the best guide to the pattern of party-political contestation: support is weakest at the far left of the spectrum and increases as one moves along the left/right axis to green, social democratic, liberal, and conservative parties; amongst parties of the far right, support is again weaker than amongst parties of the centre. An analysis of parliamentary debates in Canada, Germany, and the United Kingdom about the interventions in Afghanistan and against Daesh in Iraq and Syria shows that political parties also differ systematically in how they frame the use of force abroad. For example, parties on the right tend to frame their country’s participation in the US-led missions in terms of national security and national interests whereas parties on the left tend to engage in ‘spiral model thinking’, i.e., they critically reflect on the unintended consequences of the use of force in fuelling the conflicts with the Taliban and Daesh.
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.
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 | 0.020 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.011 | 0.034 |
| Scholarly communication | 0.015 | 0.006 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.004 | 0.009 |
| Insufficient payload (model declined to judge) | 0.009 | 0.002 |
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".