Bibliographic record
Abstract
Perhaps the best known English lutenist of the sixteenth and seventeenth centuries, John Dowland (1563? – 1626) wrote numerous pieces for the lute, as a solo and ensemble instrument, including Lachrimae, or Seaven Teares figvred in Seaven Passionate Pavans. Written in 1604, this piece was his final exploration of the popular melody that he had previously used in the lute pavan, “Lachrimae” (1596), and the lute song, “Flow my teares” (1600). Seaven Teares, for five viols and lute, is a series of seven variations whose provocative Latin titles, like Lachrimae Gementes and Lachrimae Verae, have caused some scholars to speculate that the music symbolizes either Elizabethan melancholy or the Fall of Man. However, as seventeenth-century scholarship suggests, the Elizabethan concept of melancholy was intrinsically connected to their perception of the Fall, and a close examination of Dowland’s Seaven Teares corroborates their relationship.
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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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".