Unfinished Business: Canada’s Contribution to Promoting Compliance with International Humanitarian Law Through the Protection of Civilians in Armed Conflict Agenda of the United Nations Security Council
Bibliographic record
Abstract
During its 1999-2000 term on the United Nations Security Council, Canada helped launch the Council’s “Protection of Civilians in Armed Conflict” agenda. This aimed to reduce civilian war casualties through better respect for international humanitarian law [IHL]. This article reviews the agenda’s origins and evolution ten years on. The authors focus on Canada’s contributions in increasing the Council’s efforts to protect civilians, with three main assertions. First, Canada had a key role in creating and promoting the agenda, an important IHL initiative. Second, the agenda is well established in the Council’s work, but needs further effort to ensure greater impact in specific situations. Third, Canada could develop the agenda and improve respect for IHL if it joins the Security Council for the 2011-2012 term, picking up its “unfinished business” from its last Council term.
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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 | 0.003 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.022 | 0.006 |
| Scholarly communication | 0.014 | 0.003 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.004 | 0.005 |
| Insufficient payload (model declined to judge) | 0.008 | 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".