Arguing with law: strategic legal argumentation, US diplomacy, and debates over the International Criminal Court
Bibliographic record
Abstract
Abstract Recent studies have highlighted the instrumental use of language, wherein actors deploy claims to strategically pursue policy goals in the absence of persuasion or socialisation. Yet these accounts are insufficiently attentive to the social context in which an audience assesses and responds to strategic appeals. I present a theoretical account that highlights the distinctly powerful role of international law in framing strategic argumentation. Legalised discourses are especially legitimate because law is premised on a set of internally coherent practices that constitute actors and forms of action. I then illustrate the implications in a hard case concerning US efforts to secure immunities from International Criminal Court jurisdiction. Contrary to realist accounts of law as a tool of the powerful, I show that both pro- and anti-ICC diplomacy was channelled through a legal lens that imposed substantial constraints on the pursuit of policy objectives. Court proponents responded to US diplomatic pressure with their own legal arguments; this narrowed the scope of the exemptions, even as the Security Council temporarily conceded to US demands. While the US sought to marry coercion with argumentative appeals, it failed to generate a lasting change in global practice concerning ICC jurisdiction.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".