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Record W2592780591 · doi:10.3968/9185

Oriental Pearls: Adaptation of Ghazals in Modern American Poetry

2017· article· en· W2592780591 on OpenAlexvenueno aff
Arwa Hussein Aldoory

Bibliographic record

VenueStudies in literature and language · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicIslamic Studies and History
Canadian institutionsnot available
Fundersnot available
KeywordsPoetryLiteratureOrientalismBeautyHinduismContext (archaeology)HistoryArtAestheticsPhilosophyTheologyArchaeology

Abstract

fetched live from OpenAlex

Ghazal poetry is a poetic genre which expresses the pains of loss and separation as well as the beauty of the beloved. The form is ancient, originating in Arabic, Hindu and Persian poetry. Ghazal poetry has been introduced into modern American poetry since the midst of the twentieth century after translating some Ghazal poems by the Urdu poet Mirza Ghalib. This paper examines the American adaptations of Ghazal poetry by outstanding modern American poets since the second part of the twentieth century. It argues that “transcultural Orientalism”, which is the product of integration between orientals and occidentals in cross-cultural societies, is a key factor that illustrates the reason behind the American adaptation of Ghazal poetry. Adaptation of Ghazal poetry, by modern American poets intensifies an attempt to dominate the “other” through revisiting the literary trends of its exotic culture. These poets also attempted to create a cultural dialogue through imposing a cross-cultural poetic genre. They introduced Ghazal poetry in a new context which suits more the contemporary issues. However, many American Ghazal poets fell in the trap of infidelity since they viewed it through an outsider’s eyes, ignoring its artistic value and its intellectual substance.

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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.075
Threshold uncertainty score0.988

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 studies0.0000.001
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 head0.025
GPT teacher head0.360
Teacher spread0.335 · 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
Published2017
Admission routes1
Has abstractyes

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