Implementation in practice: The use of force to protect civilians in United Nations peacekeeping
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Since the failures of the United Nations of the early 1990s, the protection of civilians has evolved as a new norm for United Nations peacekeeping operations. However, a 2014 United Nations report found that while peacekeeping mandates often include the use of force to protect civilians, this has routinely been avoided by member states. What can account for this gap between the apparently solid normative foundations of the protection of civilians and the wide variation in implementation? This article approaches the question by highlighting normative ambiguity as a fundamental feature of international norms. Thereby, we consider implementation as a political, dynamic process where the diverging understandings that member states hold with regard to the protection of civilians norm manifest and emerge. We visualize this process in combining a critical-constructivist approach to norms with practice theories. Focusing on the practices of member states’ military advisers at the United Nations headquarters in New York, and their positions on how the protection of civilians should be implemented on the ground, we draw attention to their agency in norm implementation at an international site. Military advisers provide links between national ministries and contingents in the field, while also competing for being recognized as competent performers of appropriate implementation practices. Drawing on an interpretivist analysis of data generated through an online survey, a half-day workshop and interviews with selected delegations, the article adds to the understanding of norms in international relations while also providing empirical insights into peacekeeping effectiveness.
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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 | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 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 it