Bibliographic record
Abstract
This paper begins from the new emphasis in Sidney's Defence of Poetry on poetry's capacity to move – not simply to teach and delight, the usual formula. Challenging Plato, Gosson, and many others, he argued poetry's superiority to history and philosophy by claiming that it holds forth models of virtue and vice that cannot fail to move readers, respectively, to emulation or abhorrence. Moving the audience is an effect more commonly associated with rhetoric, and Sidney also makes an explicit connection between moving to personal and to political virtue. I argue that Spenser, and later Milton follow Sidney in claiming poetry's power to move in both spheres, but that all these poets develop a much more complex poetics of moving in their literary works: the Old Arcadia, the Faerie Queene, and Paradise Lost. Within all these works, poetic speakers are shown moving audiences but find they cannot control the audiences' reactions. Sidney, Spenser, and Milton themselves seek to move readers through these works, but now by specifically literary means, inviting readers to experience the passions, complexities, and conflicts that always attend moral and political choices.
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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 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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".