English 416G (Winter 2000) "Middle English Verse Romance: The Problem of Trust"
Bibliographic record
Abstract
"For creatures with the properties of human beings the problem of trust today is no closer to the margins of practical life, no more narrowly domestic and personal than it was in the high Middle Ages." John Dunn's recent comment points directly to an issue at the heart both of many of the best Middle English romances and of latemedieval English society. Poems otherwise as diverse as Sir Gawain and the Green Knight, Amys and Amylion, or Chaucer's Knight's Tale, for example, use a vocabulary of trust centred in the terms trouthe and tresoun and incorporate incidents raising this and related issues. In this course we will explore the formal development of Middle English verse romance while at the same time examining the problem of trust both in the narratives and in the social context in which, and for which, they were written. Our goal will be to use linguistic, legal, and other evidence to formulate supportable connections between the romances and their social context which cast an explanatory light on the poems themselves.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.004 | 0.003 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.019 | 0.003 |
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".