Theorizing Norm Stagnation and the Evolution of Domestic Norm Compliance
Bibliographic record
Abstract
Abstract Research on international norms is increasingly motivated by their nonlinear evolution and processes of contestation and regression. We advance this work by considering how simultaneous but distinct evolutionary shifts can create diachronic gaps between global norms and national compliance. This sequence of events in which a country that demonstrably embraces a global norm fails to keep pace as the substance of the norm evolves over time is inconsistent with recent work on international norm adaptation, resistance, and backlash. We instead theorize how the degree of norm compliance in a country can diminish over time as the broader norm evolves, a process we term “norm stagnation.” We also identify two potential sources of norm stagnation: a knowledge gap and domestic gridlock. Drawing on examples from research on the sexual orientation, gender identity, and expression (SOGIE) norm, we illustrate how both knowledge gaps and domestic gridlock can contribute to the domestic adoption of a norm becoming disjointed from the global norm as the global norm shifts over time. This theory note thus contributes to research on the dynamism of and backlash against international norms.
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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".