Public Learning and Private Learners: The Separation of Public and Private in Renaissance Literature and Pedagogy
Bibliographic record
Abstract
Abstract Although Michael McKeon’s The Secret History of Domesticity is both a major achievement in public sphere theory and builds a major bridge between studies of the Restoration and the Renaissance, it also suggests a further examination of evidence from before the civil wars. While the opening chapter considers the pre‐16th‐century developments of privacy in politics, economics and religion, the book’s literary and cultural evidence focuses overwhelmingly on the 17th and 18th centuries. Taking the topic of education as the main point of departure, this article argues that the conceptual separation of public and private can be seen in Tudor evidence such as Richard Mulcaster’s pedagogy manual, Positions (1581), Dudley Fenner’s Artes of Logike and Rhethorike (1584) and even in the statutes of London’s Gresham College (1596). Although the language of public and private in these texts is inchoate and provisional, these Elizabethan educational texts also participate in what McKeon identifies as the emergence of the modern categories of publicity and privacy.
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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 | 0.011 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.009 | 0.074 |
| Scholarly communication | 0.013 | 0.013 |
| Open science | 0.001 | 0.011 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".