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Record W3216155077

THE GHAZALS IN ENGLISH: THE GENESIS AND JOURNEY OF THE ENGLISH GHAZAL

2021· article· en· W3216155077 on OpenAlex
Vikas Rathor

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Emerging Technologies and Innovative Research · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicIslamic Studies and History
Canadian institutionsnot available
Fundersnot available
KeywordsPoetryUrduLiteratureRomanceCarvingMysticismAncient historyArabicArtHistoryIslamPhilosophyVisual artsArchaeologyLinguistics
DOInot available

Abstract

fetched live from OpenAlex

The ghazal is an Eastern poetic form, which is extremely popular all over world in present. The ghazal is known as a structured poem traditionally confined to the Islamic world, and the Indian Sub-continent, where it developed and got matured. It is written as a lyrical verse, which literally means ‘talking to women’. The romantic longing for a woman, Sufi-mysticism and wine have been the popular themes of the ghazal from. Such major themes have been dealt over the centuries by the great poets such as Attar, Rumi and Hafiz in the Farsi; Ibn- al –Farid in Arabic, and Ghalib and Faiz in Urdu. Later it became successful in carving out a place in the Western countries as Spain, Germany, America, Canada, England, Australia, etc. The present paper will try to access and trace the journey of this poetic form from the eastern countries to the English speaking world.

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.

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)0.007
metaresearch head score (Gemma)0.015
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Science and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.480
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.015
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0020.003
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
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 head0.076
GPT teacher head0.383
Teacher spread0.307 · 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