Bibliographic record
Abstract
Abstract While book-piracy is often thought of as an Elizabethan problem, the organized infringement of lucrative copyrights in fact began a few decades earlier, in the reign of Mary Tudor. In this paper the known details are presented of what are probably the two best documented cases from that reign. The first was the repeated commissioning and importation of editions of Lily’s Grammar from Geneva (some of them falsely dated). The second was the reprinting of a collection of sermons whose authorized printer had secured a patent to protect it. In the first case the patentee’s attempts to obtain satisfaction in Chancery were unsuccessful; in the second the author’s interests fared rather better in Star Chamber, and may thus have established a precedent for the prosecution of Elizabethan pirates.
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 | 0.012 | 0.029 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.002 |
| Science and technology studies | 0.028 | 0.069 |
| Scholarly communication | 0.016 | 0.018 |
| Open science | 0.002 | 0.015 |
| Research integrity | 0.011 | 0.013 |
| Insufficient payload (model declined to judge) | 0.017 | 0.003 |
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".