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
<JATS1:p>Several democratic countries have used emergency powers to restrict or suspend individual liberties in order to fight terrorism more effectively. Emergency powers are controversial in their potential to undermine democracy and civil liberties. Freeman challenges popular arguments of both the supporters of emergency powers, who focus on their expected effectiveness, and the critics, who focus on the dangers. In reality, the recent experiences of four different democratic states that have invoked emergency powers show that a positive outcome is just as likely as negative outcome.</JATS1:p> <JATS1:p>As the United States fights its war against terrorism, it should heed the lessons learned by other democracies in similar struggles, particularly Great Britain's relationship with Northern Ireland in the 70s and 80s, Uruguay's response to the Tupamaros in the late 60s and early 70s, Canada's dealings with the FLQ in 1970, and Peru's conflict with the Shining Path movement in the 80s and early 90s.</JATS1:p>
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 | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| 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