MétaCan
Menu
Back to cohort

The Democratic Politics of Military Interventions

2020· book· en· W4251227810 on OpenAlexaboutno aff
Wolfgang Wagner

Bibliographic record

VenueOxford University Press eBooks · 2020
Typebook
Languageen
FieldSocial Sciences
TopicPolitics and Conflicts in Afghanistan, Pakistan, and Middle East
Canadian institutionsnot available
Fundersnot available
KeywordsPoliticsPolitical scienceDemocracyPolitical economyForeign policyPsychological interventionUnintended consequencesPublic administrationLawSociology

Abstract

fetched live from OpenAlex

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.983
Threshold uncertainty score0.977

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.043
GPT teacher head0.270
Teacher spread0.227 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreOther

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".

Quick stats

Citations53
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueOxford University Press eBooksSame topicPolitics and Conflicts in Afghanistan, Pakistan, and Middle EastFrench-language works237,207