Bibliographic record
Abstract
The last US drone strike during its occupation of Afghanistan took place in Kabul on 29 August 2021. The target was identified as an Islamic State–Khorosan (ISIS-K) cell preparing to attack Hamid Karzai International Airport while the United States and its allies conducted a large-scale non-combatant evacuation and the Taliban advanced into the capital. Although the strike was the culmination of intensive aerial surveillance, it killed only innocent civilians. In comparing the official account of events provided by the Pentagon to explain the catastrophic mistake with an alternative narrative established by investigative reporters, it becomes clear that the strike was prompted by a performative series of assumptions and inferences that fastened on every observed action as suspicious and ultimately hostile. A further comparison with a US airstrike in Uruzgan on 21 February 2010 shows that this chain of misinterpretation and miscalculation has been a constant in civilian casualty incidents for many years. This prompts a series of reflections on the architecture of aerial violence and its implications for civilians caught up in the battlespaces of later modern war.
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.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 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 | 0.001 |
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 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".