MétaCan
Menu
Back to cohort
Record W2343182996 · doi:10.5539/ells.v6n2p110

The Physical Beauty in Shakespeare’s Sonnets

2016· article· en· W2343182996 on OpenAlexvenueno aff
Chunli Ma

Bibliographic record

VenueEnglish Language and Literature Studies · 2016
Typearticle
Languageen
FieldArts and Humanities
TopicArchitecture and Cultural Influences
Canadian institutionsnot available
Fundersnot available
KeywordsBeautySonnetPleasureAestheticsArtLiteraturePoetryPsychology

Abstract

fetched live from OpenAlex

<p>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.</p>

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.601
Threshold uncertainty score0.268

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.011
GPT teacher head0.252
Teacher spread0.240 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueEnglish Language and Literature StudiesSame topicArchitecture and Cultural InfluencesFrench-language works237,207