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
Following the 1994 genocide, the government of Rwanda embarked on a “deethnicization” campaign to outlaw Tutsi, Hutu, and Twa labels and replace them with a pan-Rwandan national identity. Since then, to use ethnic labels means risking accusations of “divisionism” or perpetuating ethnic schisms. Based on one year of ethnographic fieldwork in the university town of Butare, I argue that the absence of ethnic labels produces practical interpretive problems for Rwandans because of the excess of possible ways of interpreting what people mean when they evaluate each other's conduct in everyday talk. I trace the historical entanglement of ethnicity with class, rural/urban, occupational, and moral distinctions such that the content of ethnic stereotypes can be evoked even without ethnic labels. In so doing, I aim to enrich understandings of both the power and danger inherent in the ambiguous place of ethnicity in Rwanda's “postethnic” moment.
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 | 0.001 | 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 | 0.000 | 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 it