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Sociological Approaches to International Adjudication

2019· reference-entry· en· W4253910361 on OpenAlexaff
Salvatore Caserta

Bibliographic record

VenueMax Planck Encylopedia of International Procedural Law · 2019
Typereference-entry
Languageen
FieldSocial Sciences
TopicInternational Law and Human Rights
Canadian institutionsCentre for International Governance Innovation
Fundersnot available
KeywordsAdjudicationSociologyEpistemologyPolitical scienceLawPhilosophy

Abstract

fetched live from OpenAlex

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).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.011
metaresearch head score (Gemma)0.017
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.014
Threshold uncertainty score0.083

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.017
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0060.006
Science and technology studies0.0100.048
Scholarly communication0.0140.009
Open science0.0020.006
Research integrity0.0040.006
Insufficient payload (model declined to judge)0.0070.001

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.

Opus teacher head0.102
GPT teacher head0.306
Teacher spread0.205 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

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".

Quick stats

Citations0
Published2019
Admission routes1
Has abstractyes

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