Sociological Approaches to International Adjudication
Bibliographic record
Abstract
This article presents the ways in which classical sociological theories cab help unpack how international courts operate and how their adjudicative practices are in part steered by social and political structures. The main focus is on classic sociological theories, respectively Weberian interpetivist, Durkheimian functionalist, and Marxist and post-Marxist critical perspectives. In order to demonstrate how these sociological perspectives are relevant for the study of international adjudication, the article applies their tenets to a different set of international courts, including the European Court of Human Rights (ECtHR), the Inter-American Court of Human rights (IACtHR), the Caribbean Court of Justice (CCJ), the entral American Court of Justice (CACJ), the Court of Justice of the European Union (CJEU) and the East African Court of Justice (EACJ).
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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 | 0.010 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.006 | 0.005 |
| Science and technology studies | 0.010 | 0.056 |
| Scholarly communication | 0.013 | 0.007 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.005 | 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".