John Skelton in Diss and His Bishop Richard Nix: The Skeltonic <i>dicacitas</i>
Bibliographic record
Abstract
Abstract John Skelton’s relations with Richard Nix, bishop of Norwich, are likely to have effected the development of the laureate’s poetry, for it is the case that the careers of the two were intertwined before the decade of Skelton’s church-service in Diss under Nix’s authority. Before coming to the diocese, both Skelton and Nix were involved in entertainment-making in the household of King Henry VII; before their household collaborations, both were trained in avant-garde humanist philology. The privately circulated anti-clerical satires as well as the official state poetry Skelton wrote during his Diss exile bear the impress of interests that the poet shared with his bishop; and the Diss-period work prepared Skelton’s re-emergence as a vituperative ‘monitor of error’ in his second court period after 1512.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.009 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".