When democratic governance unites and divides: Social status and contestation in the Organization for Security and Co-operation in Europe
Bibliographic record
Abstract
Scholars and practitioners are increasingly attentive to contestation against symbols and institutions underpinning international order(s). Yet International Relations scholarship can benefit from greater understanding of ways in which contestation interacts with salient dimensions of social status in specific international organizations (IOs). Drawing on evidence from the history of the Organization for Security and Co-operation in Europe (OSCE), with a focus on democratic governance and human rights, this article analyzes status-related contestation as a significant, yet under-examined type of contestation in multilateral diplomacy. Status-related contestation conveys dissatisfaction about symbols, institutions, and actors which reinforce socially significant divisions that place a state (or group of states) at a social disadvantage in a particular multilateral venue. International organizations provide unique social contexts which affect the content of contestation. Building on scholarship in social psychology, constructivism, and status hierarchies in world politics, the article analyzes the evolution of a dimension (or basis) of social status in the OSCE and illustrates that, beyond domestic and material interests, state representatives communicate social identity-related concerns through language, for example, that expresses discontent with dividing lines, unfairness, or (dis)respect, in attempting to minimize negative social identities in multilateral organizations.
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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 | 0.008 | 0.012 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.009 | 0.031 |
| Scholarly communication | 0.014 | 0.008 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".