The humanitarian theatre: drought response during Ethiopia's low-intensity conflict of 2016
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 This article aims to rekindle the debate on the politics of aid in the increasingly common – yet still under-studied – authoritarian and low-intensity conflict settings, detailing the case of Ethiopia in 2016, when a 50-year drought coincided with a wave of protests and a state of emergency. During four months of qualitative fieldwork in 2017, state, civil society, Ethiopian and international actors were approached – from humanitarian headquarters to communities in the Amhara, Oromiya and Somali regions. Research participants relayed stark discrepancies between the humanitarian theatre's ‘frontstage’, where disaster responders showcase an exemplary response, and its ‘backstage’, where they remove their frontstage masks and reflect on the information, the decision-making monopoly of the state and the intrusion of conflict dynamics into the humanitarian response. In humanitarian research and in policy, a collective conversation is necessary on where to draw the line between respect for governments’ sovereignty and the intrusion of humanitarian principles.
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 | 0.003 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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