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
Over the last two decades, the interdisciplinary field of genocide studies has dramatically expanded and matured. No longer in the shadow of Holocaust studies, it is now the primary subject of journals, textbooks, encyclopedias, readers, handbooks, special journal issues, bibliographies, workshops, seminars, conference, Web sites, research centers, government agencies, non-governmental organizations, international organizations, and a unit at the United Nations. If not yet fully theorized, the discipline is characterized by a number of debates and approaches. As the outlines of the field emerge more clearly, the time is right to engage in critical reflections about the state of the field, or what might be called critical genocide studies. The goal is not to be critical in a negative sense but to consider, even as a canon becomes ensconced, what is said and unsaid, who has voice and who is silenced, and how such questions may be linked to issues of power and knowledge. It is, in other words, a call for critical thinking about the field of genocide studies itself, exploring our presuppositions, decentering our biases, and throwing light on blind spots in the hope of further enriching this dynamic field.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 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 it