“This changes things”: Children, targeting, and the making of precision
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
Avoidance of civilian casualties increasingly affects the political calculus of legitimacy in armed conflict. “Collateral damage” is a problem that can be managed through the material production of precision, but it is also the case that precision is a problem managed through the cultural production of collateral damage. Bearing decisively on popular perceptions of ethical conduct in recourse to political violence, childhood is an important site of meaning-making in this process. In pop culture, news dispatches, and social media, children, as quintessential innocents, figure prominently where the dire human consequences of imprecision are depicted. Children thus affect the practical “precision” of even the most advanced weapons, perhaps precluding a strike for their presence, potentially coloring it with their corpses. But who count as children, how, when, where, and why are not at all settled questions. Drawing insights from what the 2015 film, Eye in the Sky, reveals about a key social technology of governance we have already internalized, I explore how childhood is itself a terrain of engagement in the (un)making of precision.
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