Bibliographic record
Abstract
To those living through them, the Elizabethan and early Stuart years of England’s history seemed unusually riven by plots and conspiracies. Protestants feared the public effects of the private machinations of the Scottish queen and her supporters, of Jesuits, and of perfidious “papists” more generally. Catholic polemicists countered with narratives of dark deeds done by men who subverted rather than served the Crown: “secret histories” circulated that warned of William and Robert Cecil, the earl of Leicester, and others undermining the public state of the realm. 1 Very real conspiracies by men such as the Earl of Essex and Guy Fawkes fostered fears of others. From the hard and hungry 1590s, protests against enclosures and lack of food became so common and concerning that the authorities contrived to brand some such riots as the products of treasonous conspiracies that threatened not just particular landlords or grain merchants but the public at large. 2 Over the early seventeenth century, fears of covert machinations by both the poor and the powerful only increased, culminating in the fear that King Charles himself had become a pawn in a Catholic conspiracy that endangered the lives and liberties of his subjects. 3 Talk of plots and conspiracies—real and imagined—abounded in an increasingly divided and discordant political culture, seen as threatening a “public” they arguably helped to create.
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.050 | 0.035 |
| Scholarly communication | 0.016 | 0.005 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.007 | 0.013 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".