Compromising Aid to Protect International Staff: The Politics of Humanitarian Threat Perception after the Arab Uprisings
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 Scholars expect operational compromises by humanitarian organizations to follow attacks on aid workers. However, in response to the War in Syria, organizations compromised aid and adopted clandestine, cross-border, remote management, and conflict-actor aligned approaches, which best protected international aid workers. This was despite declining rates of attack against them, relative to their national staff counterparts. This article asks why international aid workers were withdrawn and aid was compromised in the wake of the Arab Uprisings by traditional risk-taking organizations: Médecins Sans Frontières (MSF) and the International Committee of the Red Cross (ICRC). Drawing on political ethnography and interviews with aid workers, I show that shocking violent events, everyday insecurity, and changes in the nature of threat have significant effect on threat perception and explain compromises where rates of attack do not. This paper offers a picture of the micro- and field-level foundations of organizational threat perception and decisions about whose security matters.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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 | 0.000 |
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