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
This paper examines how queerness interacts with and is implicated in traditional genocides, i.e. those directed at racial, religious, national, and ethnic groups - the groups defined as protected classes in the Genocide Convention. It poses the following question: How can scholars of Genocide Studies learn from the queer theory-Genocide Studies nexus? To answer, this paper demonstrate how three distinct queer theory concepts can be woven with Genocide Studies to reveal novel insights into some of the field’s preeminent questions. Specifically, it draws on queer intellectual curiosity, heteronormativity, and reproductive futurism. Connecting queer theory with Genocide Studies yields empirical, analytical, and normative insights into the latter. Deploying queer theory concepts in Genocide Studies ensures the field is more attentive to queer lives, something all academic disciplines should strive for, and advances the field’s understanding of genocide as a phenomenon.
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 | 0.000 | 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 it