Bibliographic record
Abstract
ichard Maitland (1496-1586) is not a wellknown poet, except to medieval-renaissance specialists; he usually rates about two short poems in a long anthology. I have discovered only two articles on his poetry, one by Maurice Lee which -while certainly valuable -is historical rather than literary (1969), and a useful commentary on some of the better poems by Alasdair MacDonald (1970). Most of Maitland's remaining poems offer moral and religious instruction, to counter the ungodly times. This suggests a further reason why he tends to be passed over: moral verses usually lack appeal. Yet he is a better poet than a cursory look would indicate, and deserves more attention. Within his main themes of corruption and devastation, there is variety in form, tone, and topic; and the better poems are distinctive and moving. These are almost always the less general and more specific poems, a point that will be amplified shortly. I shall begin with a brief introduction to Maitland's career and his poetry, and then examine three poems in more detail.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".