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Record W2343693388 · doi:10.3968/8335

Sa‘di and Shakespeare: A Comparative Study of Some Common Themes

2016· article· en· W2343693388 on OpenAlexvenueno aff
Shadi Mohyeddin Ghomshei, Hossein Mohyeddin Ghomshei

Bibliographic record

VenueStudies in literature and language · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicIslamic Studies and History
Canadian institutionsnot available
Fundersnot available
KeywordsImmortalityRealmHumanityGeniusDignitySoulLiteratureSubject (documents)PhilosophyEpistemologyArtHistoryTheologyLaw

Abstract

fetched live from OpenAlex

This paper aims at showing that although the two great world poets Muslih al-Din Sa‘di (c.1184-1291) and William Shakespeare (1564-1616) hailed from far different historical eras and cultures and were the product of separate religious and social environments, in their basic ideas and ideals they shared so much in common that they seemed to be coming from the same realm of thoughts. To demonstrate this, we have narrowed down the subject of our study to a thematic comparison of key subjects that these two genius poets shared in common, concentrating on certain general topics that were beloved of both writers, viz. music, co-mpensation theory, love, the dignity of man and the immortality of the soul. In this manner, we hope to demonstrate how both poets acted as universal mirrors reflecting our common human nature and shared similar if not virtually identical ideas regarding basic issues of humanity.

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)0.010
metaresearch head score (Gemma)0.016
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: Empirical
Teacher disagreement score0.027
Threshold uncertainty score0.053

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.016
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0120.016
Science and technology studies0.0270.027
Scholarly communication0.0100.010
Open science0.0020.007
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.032
GPT teacher head0.358
Teacher spread0.326 · 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
Published2016
Admission routes1
Has abstractyes

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Same venueStudies in literature and languageSame topicIslamic Studies and HistoryFrench-language works237,207