The Emergence of Objective Guidelines for Granting Immunity to International Non-Governmental Organizations
Bibliographic record
Abstract
Abstract Out of thousands of international non-governmental organizations (INGOs), only five benefit from immunities from jurisdiction and execution: the International Committee of the Red Cross (ICRC), the International Union for Conservation of Nature (IUCN), the Global Fund to Fight AIDS, Tuberculosis, and Malaria; Gavi, the Vaccine Alliance (Gavi), and the World Anti-Doping Agency (WADA). Based on empirical research, this article argues that there is an emerging State practice in granting immunity only to INGOs that meet two cumulative criteria: a hybridity character and a mission of international interest, formally recognized in a source of international law. This article proposes a new approach based on both Functionalism and Institutionalism that addresses the specificities of INGOs and thus shows that international law provides guidance on the granting of immunities.
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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".