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
The law of treason has been criticised for being based on ‘outdated’ statutes which are inflexible and unsuitable for modern needs. However, a historical examination of the evolution of treason in Britain and its empire suggests that the law was often adaptable. In nineteenth century England, jurists wished to rein in older constructive treasons, to leave the 1351 Act as the appropriate law for wartime treasons, while the more lenient 1848 Act was to be used against ‘political’ conspiracies to subvert the state by force. However, the ‘constructive’ treasons remained part of the law, and were given new life in imperial contexts. In Ireland and Canada, the idea that plotting the king's ‘political’ death was treason remained central to understandings of the 1351 Act. In India, the interpretation of the provision of the penal code against ‘waging war’ against the government was influenced by old English ideas of ‘constructive’ treason and used against those who challenged British rule. Imperial understandings of treason were also shaped by cases arising out of the Boer war, where the underlying law was Roman‐Dutch law. Rather than being restrictive and unable to adapt to modern needs, the law of treason was flexible and malleable.
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 | 0.000 |
| 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