The Limits of Oral History: Ethics and Methodology Amid Highly Politicized Research Settings
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
In recent years, oral history has been celebrated by its practitioners for its humanizing potential, and its ability to democratize history by bringing the narratives of people and communities typically absent in the archives into conversation with that of the political and intellectual elites who generally write history. And when dealing with the narratives of ordinary people living in conditions of social and political stability, the value of oral history is unquestionable. However, in recent years, oral historians have increasingly expanded their gaze to consider intimate accounts of extreme human experiences, such as narratives of survival and flight in response to mass atrocities. This shift in academic and practical interests begs the questions: Are there limits to oral historical methods and theory? And if so, what are these limits? This paper begins to address these questions by drawing upon fourteen months of fieldwork in Rwanda and Bosnia-Hercegovina, during which I conducted multiple life history interviews with approximately one hundred survivors, ex-combatants, and perpetrators of genocide and related mass atrocities. I argue that there are limits to the application of oral history, particularly when working amid highly politicized research settings.
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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 | 0.014 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.006 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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