“Hac ex consilio meo via progredieris”: Courtly Reading and Secretarial Mediation in Donne's <i>The Courtier's Library</i>
Bibliographic record
Abstract
John Donne's The Courtier's Library (ca. 1603–11) is a catalogue of imaginary books that derives its inspiration from Rabelais's satirical description of the Library of St. Victor. Donne's depiction of courtly knowledge parodies the humanist work that secretaries performed for their masters by offering a path to ignorance and mockery rather than a path to learning and advancement. This essay investigates The Courtier's Library, published here in a new translation (see Appendix), in the context of Donne's habits of reading, marginal annotation, and note-taking, examining both the complicated negotiation involved in producing knowledge for courtly display, and Donne's own attempts to reconcile the roles of secretary, scholar, and gentleman.
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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 | 0.004 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.019 | 0.029 |
| Scholarly communication | 0.011 | 0.005 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.007 | 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".