Bibliographic record
Abstract
Grief and Women Writers in the English Renaissance anatomizes the era's powerful but troubling links between the forgettable dead and the living mourners who are implicated in the same oblivion. Four major women writers from 1570 to 1670 construct these difficult bonds between the spectral dead and the liminal mourner. Mary Sidney Herbert, Countess of Pembroke, reinvents the controversial substitutions of aristocratic funerals. New Protestant ideologies of the sainted dead connect devotional mourning and patronage in Aemelia Lanyer's writing. Mary Wroth's verse enacts a uniquely exalted, imaginative melancholy in which Jacobean subjects dissolve into their mourning artifacts. Among the precarious political mourners of the later half of the period, Katherine Philips's lyric verse plays the shell game of private grief. Forgetting, being forgotten, and being dead are risks that the dead and the living ironically share in these central texts by the English Renaissance's most illustrious women writers.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.007 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 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".