‘She Dug Two Graves’Winfred Kiunga. In: Nairobi Noir. Edited by Peter Kimani
Bibliographic record
Abstract
Fawzia, her younger brother, and parents become officially registered residents of Dadaab refugee camp in north-eastern Kenya near the Kenya–Somalia border following their dislocation from Kismayo, Somalia. In an unspecified time, the young, female, camp-based Somali refugee becomes a motherless, childless, divorced masseuse. Concerned about Fawzia’s recurrent losses and struggles with belonging, Marian, Fawzia’s Toronto-based childhood friend resettled through a scholarship, sends Fawzia 1,500 Canadian dollars. She also suggests to Fawzia to run away from the gossip, ex-husband, and mockery in Dadaab; to go and live in Marian aunt’s house in Eastleigh (an estate in Nairobi, Kenya’s capital, more than 464 km away, whose residents are predominantly Kenyan Somalis and citizens of Somalia); start a business; and apply for urban refugee status. Camp-based and urban refugee statuses are not interchangeable though. Moving from an area designated for refugees requires consultation with the Department of Refugee Services and United Nations’ refugee agency (UNHCR) representatives. Refugees who intend to leave a camp are also obligated to notify camp officials of their plan and obtain a refugee movement pass whose validity is 30 days. Fawzia takes her friend’s advice. She leaves Dadaab without informing camp officials or acquiring the pass and settles in Eastleigh.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| 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".