Bibliographic record
Abstract
Poems and Fancies covers many topics exploring the natural world from atoms to animals using a variety of forms. “A Woman drest by Age” is part of a masque, or a courtly pageant of an allegorical theme; Cavendish innovatively adapts this form to represent the thought processes on the “stage” of the brain. “THE CLASPE: Phantasmes Masque” dramatizes the workings of “phantasm” (or “Fancy”) as presented to the King, “Judgment,” and the “Thoughts” or (spectators). Of the six masquers “drest by Love, Valour, Honour, Youth, Age, Vanity,” a short verse describes each of the first four, ending with, A Woman drest by Age A Milk-white Haire-lace wound up all her Haires,[1] And a deafe Coife did cover both her Eares. A sober Countenance about her Face she ties, And a dim Sight doth cover halfe her Eyes. About her Neck a Kerchev of course Skin,[5] Which Time had crumpl'd, and worne Creases in. Her Gowne was turn'd to Melancholy black, Which loose did hang upon her Sides, and Back. Her Stockings Crampes had knit, Red Worsted Gout, And Paines, as Garters, tied her Legs about.[10] A paire of Palsey Gloves her Hands draw on, With Weaknesse stitch'd, and Numnesse trimm'd upon. Her Shooes were Cornes, and hard Skin sow'd together, Hard Skin were Soles, and Cornes the upper Leather. A Mantle of Diseases laps her round,[15] And thus shee's drest, till Death laies her in Ground. The Chorus Thus Love, and War, and Age, and Youth, did meet In scenes of Poetry, and numbers sweet. War took out Love, and Age did take out Youth, And all did dance upon the Stage of Truth.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.006 | 0.005 |
| Scholarly communication | 0.003 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.001 | 0.004 |
| Insufficient payload (model declined to judge) | 0.045 | 0.017 |
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".