Bibliographic record
Abstract
Beauty, one of the most reoccurring words throughout Shakespeare’s Sonnets, is the principal subject of the poet’s meditation. “From fairest creatures we desire increase, / That thereby beauty’s rose might never die” begins the first poem in the sonnet sequence, a statement about beauty that can be understood as the first articulation of the Sonnets’ aesthetic agenda. Beauty in Shakespeare’s Sonnets is represented in two dimensions: the physical beauty and the spiritual beauty. The physical beauty refers to the beauty of the body and the sensual pleasure derived from desires.By means of the illustration of the physical beauty, Shakespeare conveyed the aesthetical world which brings readers enjoyment and delight, moreover, the poet warns readers that the sensual pleasure should base on married chastity and social norms, otherwise, it would result in death and destruction. The account of sexual pleasure shows that on the one hand for enjoying the life itself, on the other hand, for leaving children behind to make the temporary time eternalized, thus returning back to timeless Garden of Eden. This returning course is the process of preserving beauty.This article only focuses on interpreting the physical beauty in the Sonnets, the part of the beauty in spiritual dimension will be presented in another one.
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 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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.004 | 0.011 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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".