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
Human rights are not (if even considered) prominent within typical nationalist discourses. Nationalism has preoccupations with wars, empire, heroism, common struggles, or self-righteousness. The national past is typically praised within patriotic narratives because this illustrates the idealized characteristics of identity. For the worst twentieth century examples of nationalism (and related political ideologies), it is accepted that their violence emanated from implementing and justifying their philosophies. The language of “human rights” is routinely utilized in relation to these examples, particularly in the field of history. Nations associated with liberalism, democracy, and “moral progress” (such as Britain, America, or Australia) are also attached to heroic nationalist narratives, but these narratives are widely held (by themselves) to be self-evidently true. Such nations have long associations with the principles of post-1945 international law and human rights declarations, but have been selective in their support for human rights. This is mirrored by a willingness to ignore (downplay or even justify) human rights controversies within their own pasts.
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 | 0.000 | 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) | 0.001 | 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