Bibliographic record
Abstract
Abstract This chapter locates the discussion in the context of the theoretical literature on international norms, particularly that by Martha Finnemore and Katherine Sikkink. Much of this literature is interested in norm cycles, and the means by which norms come to be disseminated internationally. Building on this work, the chapter argues that the idea of dissemination does not quite capture what in fact have been a series of strategic negotiations between international and world society, often coming during the major peace settlements at the end of wars. Historically, this has often also arisen out of a coalition of interest between powerful state actors, and civil society groups. It is suggested that the framework of negotiation between international and world society allows us to understand this process in a particular way. It also demonstrates how the absorption of norms from world society into international society has complicated the latter's practices of consensus. It opens up major new issues about how consensus is to be developed within world society about changing principles of international legitimacy. These issues are explored in the context of the WTO and G7/8, and illustrated by the Ottawa Convention on Landmines and the formation of the International Criminal Court.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.015 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".