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Record W2467196350 · doi:10.3968/7975

Exile, Deception and Magic Revelation: A Thematic Exploration of Shakespeare’s Pastorals of Love

2015· article· en· W2467196350 on OpenAlexvenueno aff
Kang Fang

Bibliographic record

VenueStudies in literature and language · 2015
Typearticle
Languageen
FieldArts and Humanities
TopicShakespeare, Adaptation, and Literary Criticism
Canadian institutionsnot available
Fundersnot available
KeywordsMAGIC (telescope)RomanceLiteratureAffectionLove storyTheme (computing)Harmony (color)PopularityDreamRevelationPhilosophyArtPsychologySocial psychologyEpistemology

Abstract

fetched live from OpenAlex

Though the theme of love by no means gains the very popularity among Shakespeare’s works, he does not simply relate a story of romance, the affection between male or female, but entirely every aspect of human love (the parental love, the brotherly love, the sisterly love as well as the friendly love). That is, love does exactly have been dissected into a multilayered pyramid in his hands. Exemplified in As You Like It , The Tempest , The Winter’s Tale , Shakespeare takes exile as a kind of precondition, getting the heroes and heroines out of the court into the forest, island and countryside with a disguised appearance and identity which performs as some means of deception, more or less casting magic as the promotive power in order to explore the extensive knowledge of love. In doing so, love then is endowed not only a purified but also a unified function and finally becomes the symbol of harmony.

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 imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.006
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.018
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0180.047
Scholarly communication0.0090.006
Open science0.0010.005
Research integrity0.0030.005
Insufficient payload (model declined to judge)0.0030.000

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 head0.122
GPT teacher head0.328
Teacher spread0.205 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations0
Published2015
Admission routes1
Has abstractyes

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