<i>Ane Detectioun</i> of Mary Stewart, Queen of Scots, and the Languages of Royal Imprisonment in Medieval and Early Modern England and Scotland
Bibliographic record
Abstract
This essay investigates the rhetoric of royal imprisonment in Ane Detectioun of the duinges of Marie Quene of Scottes (1571), one of the most famous contemporary texts associated with the Marian controversy. This Anglo-Scots pamphlet not only invokes Mary’s actual incarceration but also represents her as a captive of erotic desire, a slave of unruly passion, and a prisoner of the law. This multifaceted vision of royal incarceration is animated by a heterogeneous tradition of ideological writing in medieval and early modern England and Scotland. Three strands of a rich mosaic of interlocking discourses are analyzed: the imagery of a ruler imprisoned by passions found in Boethius’s Consolatio; a courtly love allegory in which royal eros submits to the bondage of legal constraint in The Kingis Quair; and the figurations of limited monarchy as royal incarceration in the Anglo-Scots political philosophy of John Fortescue and George Buchanan. Much more than a broadly gendered metaphor for queenly submission, this language of royal imprisonment derives its legitimacy from discourses that touch upon the very ideological foundations of English and Scottish monarchy.
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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 | 0.001 | 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 | 0.009 | 0.016 |
| Scholarly communication | 0.005 | 0.002 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".