THE WORKING METHODS OF THE UNITED NATIONS SECURITY COUNCIL: MAINTAINING THE IMPLEMENTATION OF CHANGE
Bibliographic record
Abstract
Abstract The United Nations Security Council is often described as an opaque body, closed in both membership and approach, and unaccountable for its conduct. For many years, this view has motivated calls for reform to the Council's working methods. This article aims to shine light on the Council's approach to process matters, recognizing the Council's preference for making change through developments in practice. The article reviews the efforts undertaken by the ‘Small Five’ group of States from 2005 to 2012, followed by the efforts since 2013 of the Accountability, Coherence and Transparency Group, while also acknowledging the contributions made by Japan. With some proposals having received some degree of Council support, the sustained implementation of change is identified as the key priority. The article argues for the contextual application of the key concepts of transparency, engagement and accountability, as well as prevention, to provide a principled basis for both the maintenance and development of working methods reform.
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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 | 0.241 | 0.246 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.003 |
| Science and technology studies | 0.016 | 0.062 |
| Scholarly communication | 0.025 | 0.020 |
| Open science | 0.004 | 0.018 |
| Research integrity | 0.009 | 0.011 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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.
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".