Hot and Bothered: The Lions of <i>Amoretti</i> 20 and <i>The Faerie Queene</i> I
Bibliographic record
Abstract
This essay analyzes the lions of Amoretti 20 and the first book of The Faerie Queene. The sonnet depends upon the comparison the speaker makes between the behavior of his beloved and that of the lion, according to the received natural history of Spenser’s time. The first simile of Spenser’s epic compares Redcrosse to a lion and thereby introduces a series of lions and leonine characters running throughout Book I and embodying different attributes and associations of lions—and, by extension, different attributes of Redcrosse, Una’s proper companion, for whom the other characters stand in, whether Una wants them to or not. Spenser expects his readers to interpret the significance of the animals in a cumulative, multifaceted manner, rather than as a simple one-to-one correlation based upon a single trait at a local moment in the poem.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.007 | 0.007 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".