Distinction Matters: Rethinking the Protection of Civilian Objects in Non-International Armed Conflicts
Bibliographic record
Abstract
Under treaty law all civilian objects are protected in international armed conflicts (IAC) whereas it is only certain civilian objects that enjoy protection under treaty law in non-international armed conflicts (NIAC). However, it is commonly argued that all civilian objects are protected in NIAC under customary law. This article examines the reasons for the differences in the protection of civilian objects under treaty law and the argument that customary law now provides equal protection for all civilian objects under both IAC and NIAC. The article argues that this equal protection may hinder the ability of states to maintain law and order under their domestic law in NIAC in situations where they may need to destroy property which belongs to armed opposition groups. The article advances the argument that the law regarding targeting should be that all civilian objects are protected in NIAC but, unlike the protection of civilian objects in IAC, this protection does not bar a state from destroying in its territory objects which were considered to be illegal under domestic law before the commencement of the NIAC, in accordance with international human rights law as lex specialis.
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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 | 0.014 | 0.018 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.007 | 0.046 |
| Scholarly communication | 0.012 | 0.017 |
| Open science | 0.004 | 0.008 |
| Research integrity | 0.011 | 0.014 |
| Insufficient payload (model declined to judge) | 0.004 | 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".