World Society Corridors: Partnership Patterns in the Spread of Human Rights
Why this work is in the frame
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Bibliographic record
Abstract
Abstract Considerable sociological work shows that the human rights regime is rapidly expanding through isomorphic processes. We provide new insight into human rights diffusion through an analysis of the Universal Periodic Review (UPR), a global forum in which all states receive human rights recommendations from their peers. We convert the roughly 50,000 recommendations from the first two cycles of the UPR into a relational dataset of states making and receiving recommendations, inductively modeling this process of human rights diffusion through latent class regression. Building on research in the new institutionalism, we find that asymmetric relationships between states make it less likely for human rights recommendations to be accepted, with accepted recommendations tending to be more general and easier to implement. We argue that these partnership patterns provide evidence for normative corridors that give world society its shape. By drawing together world society approaches with relational sociology, we develop new insights into the structuration of human rights and normative change more broadly.
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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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it