Collateral kids: Weighing the lives of children in targeting
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
Abstract The principle of proportionality under international humanitarian law prohibits an attack if the expected harm to civilian persons and objects is excessive in relation to the anticipated concrete and direct military advantage. In this article we argue that, when applying the principle of proportionality, the incidental harm to a child must be given a higher value as compared to incidental harm to an adult. This reflects the broader framework of international humanitarian law, which creates stratifications amongst different groups of civilians and provides special protection for children in times of war. This aligns with the practice of many militaries, which tends to implicitly assign a heightened worth to the lives of children due to moral and political considerations. Such reasons stem from the perceived vulnerability of children as well as their moral innocence reflecting harmlessness and blamelessness. Indeed, harm to children’s lives tends to generate a greater backlash among the community to which they belong and, as a result, a military disadvantage. We argue that the greater weight assigned to the lives of children in proportionality assessments is not simply a matter of morality or strategic calculations, but in fact a requirement from a more wholistic interpretation of international humanitarian law.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.000 |
| 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 | 0.000 | 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