Bibliographic record
Abstract
THE question still remains unsettled of whether Andrew Marvell’s Eyes and Tears is a religious poem in which he reworks the poetry of tears tradition associated with Robert Southwell, or a secular poem that is primarily responsive to non-religious depictions of female weeping. Since stanza VIII refers to Mary Magdalene those who see the lyric as consistently religious in orientation view it as essentially unified, while those who read the poem as largely secular discern a degree of discontinuity at work in it.1 The distance between these positions might be bridged somewhat by considering how stanza VI shows Marvell responding to Southwell’s depiction of spiritual alchemy in Saint Peters Complaynt, a theme that is developed in the poetry of tears tradition through Donne, Crashaw, Herbert, and others. For although the stanza seems strictly focused on natural phenomena, it nevertheless alludes to traditions of spiritual alchemy and thus leads relatively smoothly to the depiction of Mary Magdalene and her redeemer two stanzas later. Furthermore, stanza VI’s references to spiritual alchemy also illuminate some key imagery in the poem including the union of eyes and tears that closes the lyric.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.008 | 0.014 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.002 | 0.003 |
| 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".