Helping the Syrians Help Themselves? The Ambiguities of International Assistance to the Rebellion
Bibliographic record
Abstract
This article examines some of the ambiguities of efforts to protect Syrian civilians by problematizing the agency of civilians in armed conflict. Based on an analysis of existing discourses of intervention, it underlines the extent to which civilians have been portrayed as largely defenseless victims, when at least anecdotal evidence suggests that civilian resilience has been significant. The article emphasizes the degree to which civilians themselves may strive for other things in the conflict than their sole ‘protection,’ thus complicating efforts at protecting them. In this context, one of the most pressing and difficult issues is conceptualizing the relationship of civilians to the rebellion and vice versa, as well as the possible means of intervention of the international community in assisting civilians’ efforts. The article finishes by returning to civilian voices and analyzing how some civilian and grass roots organizations have propounded their own vision of what appropriate protection in the circumstances would entail. In the end, it may be that it is this form of political agency about the needs and vision of civilians that most needs to be heard.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.017 | 0.028 |
| Scholarly communication | 0.010 | 0.006 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.006 | 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 source (direct Gemma or distilled Codex), 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".