The 2022 Political Declaration on the Use of Explosive Weapons in Populated Areas: A tool for protecting the environment in armed conflict?
Bibliographic record
Abstract
Abstract In November 2022, eighty-three States endorsed the Political Declaration on Strengthening the Protection of Civilians from the Humanitarian Consequences Arising from the Use of Explosive Weapons in Populated Areas (Political Declaration). The Political Declaration is a new and significant development in the long-standing and ongoing efforts to protect civilians from the use of explosive weapons in populated areas – an issue which has been of growing concern for a number of states, the United Nations, the International Committee of the Red Cross and civil society for more than a decade. The use of explosive weapons in populated areas has been documented to result in widespread civilian deaths and injuries as well as longer-term harm to civilians resulting from damage to or the destruction of hospitals, water and sanitation systems and electrical power grids. Although less researched, the use of explosive weapons in populated areas also plays a prominent role in damaging and destroying the environment in situations of armed conflict. This article examines the potential of the new Political Declaration for strengthening the protection of the environment. An express reference to the environment, and the impact of explosive weapons thereon, exists only in the Declaration's preamble, but the lack of express references to the environment in the Declaration's operative commitments does not mean it lacks potential as a tool for strengthening the protection of the environment. On the contrary, the preambular reference provides an important basis on which to argue that the armed forces of endorsing States must consider the protection of the environment in their efforts to implement a number of the Declaration's key operational commitments.
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How this classification was reachedexpand
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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".