Bibliographic record
Abstract
NOT all of the pseudonyms in The Shepheardes Calender (1579) are anagrams or nonce fabrications, and yet a century of conjecture about the identity of December’s ‘Wrenock’ would seem to suggest otherwise.1 This is because Wrenock proper has long been considered in Spenser scholarship ‘an unidentified name’,2 and thus merely two ‘rustic-sounding English syllables’ joined to suit not only the pastoral’s northern flavour, but also the poet’s northern-born schoolmaster, Richard Mulcaster.3 Colin reminisces: And for I was in thilke same looser yeares, (Whether the Muse, so wrought me from my birth, Or I tomuch beleeued my shepherd peres) Somedele ybent to song and musicks mirth, A good olde shephearde, Wrenock was his name, Made me by arte more cunning in the same. (ll. 37–42)4 ‘Wrenock’, and its various cognates, can be found in records and literature related to Elizabeth’s Tudor genealogy, as well as to Whittington Castle in Shropshire. An allusion to the Queen’s lineage materializes if Spenser imitated or fell into the same tendency of medieval scribes to register ‘Werennoc’ or ‘Wronoc’ for the more usual formulation of ‘Gronwy’ or ‘Goronwy’, a name which appears in Renaissance accounts of Henry Tudor’s paternal ancestry.6 This sort of ‘scribal confusion’ for Goronwy would seem to occur, for example, in records concerning the Welsh family of Roger de Powys—who, by coincidence, also descended from a ‘Tudur’ and ‘Goronwy’—and their thirteenth-century claims to the border castle of Whittington.7 Roger’s grandson, often recorded as ‘Wrennoc’ or similar, was the last of the Powys family to hold Whittington, and it is he rather than the Tudors who offers the more intriguing (not to say unrelated) source of inspiration for Spenser’s elusive ‘olde shephearde’.
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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 | 0.003 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.007 | 0.009 |
| Scholarly communication | 0.005 | 0.006 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.020 | 0.004 |
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".