Civilian Protection and Humanitarian Assistance—Report of the 2009 Civilian Protection Working Group
Bibliographic record
Abstract
The concept of protecting civilians in armed conflict is enshrined in international humanitarian law and widely acknowledged in humanitarian norms. Making this concept operational in humanitarian service delivery is a challenge. Yet, there are many ways in which humanitarian workers could learn from local people about underlying tensions in their community and with these new insights adjust service delivery accordingly. The 2009 WG developed a qualitative verbal tool that could be used by humanitarian field staff to assist them in understanding issues of civilian protection from the local perspective. The attributes and uses of this tool are described in detail in this WG report. The fundamental aim of this tool is to enhance the capacity of humanitarian workers in their daily work to observe markers of activity and behavior and to inquire and listen from local people about what these markers might or might not mean. The WG emphasized the needs for confidentiality, focus on service delivery (not legal or advocacy work), and iterative routine integration of information gained into field team deliberations. The proposed tool is offered as a possible pilot step towards improving humanitarian understanding and response to local civilian protection needs.
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 | 0.001 | 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 | 0.001 | 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 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".