Bibliographic record
Abstract
This chapter addresses the evolution of the responsibility to protect concept from September 1999 to its adoption in the World Summit Outcome Document of September 2005. It covers Kofi Annan’s ‘dilemma of intervention’, some early human security initiatives by Canada including the International Commission on Intervention and State Sovereignty (ICISS) and its report The Responsibility to Protect which first articulated the moniker as well as the concept, the High-Level Panel on Threats, Challenges and Change and the Secretary-General’s report In Larger Freedom, the negotiations and Outcome Document of the World Summit, and the early incorporation of protection of civilians within Security Council resolutions. Throughout this narrative, the importance of sustained advocacy by key individuals—including Kofi Annan, Lloyd Axworthy, and Gareth Evans among others—is presented as vital to the evolution (in theory and in practice) of the responsibility to protect.
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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 | 0.008 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.005 | 0.028 |
| Scholarly communication | 0.012 | 0.014 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.005 | 0.008 |
| Insufficient payload (model declined to judge) | 0.020 | 0.009 |
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".