A working visit to Chad's refugee camps for the people of Western Darfur
Bibliographic record
Abstract
In 2004 at least 200 000 people from Darfur in Western Sudan are thought to have died in a wave of what has been alleged to have been ethnic cleansing (Flint & De Waal, 2008). And in April 2008 it was reported that a total of over 300 000 people might have died in the (then) 5-year Darfur conflict. During the period of the alleged genocide, nearly a quarter of a million refugees (Central Intelligence Agency, 2009) crossed the nearby border into Chad, where they remain in a dozen or so camps looked after by the United Nations and international aid organisations. These camps are strung along the frontier, in remote semi-desert locations that are sustainable only with United Nations support. Many of the camps no longer take new refugees, and are in effect transplanted communities from nearby Darfur, their social and leadership structures mirroring those of the communities that were torn apart by war. Even place names have been transplanted, to suggest a kind of normality.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.023 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.035 | 0.004 |
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".