Bibliographic record
Abstract
This research was designed to test the hypothesis that Milton's poem Paradise Lost is meaningfully patterned with respect to sound. Thirty-six segments from 12 Books of Paradise Lost were scored (Whissell, 2000) in terms of their proportional use of Pleasant, Cheerful, Active, Nasty, Unpleasant, Sad, Passive, and Soft sounds. Paradise Lost includes more Active, Nasty, and Unpleasant sounds and fewer Pleasant, Passive, Soft, and Sad sounds than a representative sample of anthologized poetry. The way in which emotional sounds are patterned (e.g., the rise and fall in the proportion of Pleasant sounds across Books) suggests the presence of three narratives within the work: Sin and Salvation-Foreseen in Heaven (Books I-II), The Fall of Man (Books IV-IX), and Sin and Salvation-Foretold on Earth (Books X-XI). The poem analyzed had updated spelling, and the author's exact intentions when creating it are not accessible to direct investigation, for this among other reasons.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 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".