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
Sirs, In my recent article, ‘The Printers of the “Ajax” Pamphlets of 1596–97’ (The Library, vii, 17 (2016), 317–30), I concluded by listing those thirteen pamphlets on p. 329. In doing so, however, I inattentively credited STC 12783 with the same collation (A4 B–E8 F4) as its copy. As I am grateful to John Lancaster for reminding me, the reprint contains only four sheets (A‐D8) rather than five.1 Because I made that mistake before calculating the printers' shares in those pamphlets, in the first line of my conclusion the total number of edition-sheets should be corrected from 66 to 65, and Edward Allde's share (five lines later) from 28½ to 27½. And as if that were not enough, I have also belatedly noticed that on the same page, I mistyped what should have been STC ‘12773.5’ as ‘12273.5’. It seems curiously appropriate that the book in question is the first edition of An Apologie. I hereby offer my own.
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 | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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 it