Parliamentary war powers and the role of international law in foreign troop deployment decisions: The US-led coalition against “Islamic State” in Iraq and Syria
Bibliographic record
Abstract
This article addresses the degree of parliamentary involvement in decisions to deploy armed forces abroad. It observes how the recourse to force by the US-led military coalition fighting against the so-called Islamic State (IS, also known as ISIL, or Da’esh) in Iraq and Syria seems to fit into a broader trend of increased parliamentary control over war-and-peace decisions on both sides of the Atlantic. Inasmuch as international legal arguments can and do play a role in parliamentary debates and concomitant resolutions, this trend carries the potential of contributing to the compliance pull of the jus ad bellum. Against this background, the article explores to what extent newfound war powers on the part of national parliaments go hand in hand with recourse to international legal arguments. The article engages this question through an analysis of the dialogue between the executive and legislative branches in a number of countries (in particular Belgium, the Netherlands, France, Germany, the United Kingdom, and Canada) pertaining to the participation in the US-led coalition against IS.
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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 | 0.018 | 0.024 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.018 | 0.031 |
| Scholarly communication | 0.016 | 0.005 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.004 | 0.007 |
| Insufficient payload (model declined to judge) | 0.005 | 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".