Bibliographic record
Abstract
From the outset, historians of genocide have seen themselves as activists. Among historians of colonial societies that is what distinguishes them most in relation to indigenous peoples. An ethnographic sensibility should be visible in any such study, and the more so when a question of genocide is raised. After all, if we do not have a sense of difference between peoples we fail the test of genocide at the first hurdle. And if we do not have an ethnographic sensibility towards our own cultures (including academic cultures) we will fail to make the most of our role in affecting deeply ingrained kinds of historical consciousness. Examples from Australia make this painfully plain. Is there any chance of opening a bridge between the completely different worlds of those who profited from genocide and those who suffered for it? How can that cause be advanced inside and outside the academy? We are thriving as a sub-discipline, but where to from here? Liberating genocide into a wider discourse may be the way to connect the adventure of ethnographic history, the conceptual illumination of episodes, to the vast field of global relations the understanding of colonialism requires.
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.
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 | 0.000 |
| 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 | 0.000 |
| 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 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".