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Agency of the Self and the Uncertain Nature of the Beloved in Persian Love Mysticism: Earthly, Ethereal, Masculine, or Feminine?

2022· article· en· W4285409174 on OpenAlexaff
Mahdieh Vali-Zadeh

Bibliographic record

VenueTeosofi Jurnal Tasawuf dan Pemikiran Islam · 2022
Typearticle
Languageen
FieldSocial Sciences
TopicIslamic Studies and History
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsMysticismPoetryPersianLiteratureAgency (philosophy)Reading (process)PhilosophyEssentialismPersian literatureEpistemologyArtTheologyLinguistics

Abstract

fetched live from OpenAlex

It seems that the controversies over the nature of the beloved in classical Persian mystic poetry (also known as Sufi poetry) as an earthly or ethereal phenomenon would never end. Those in favor of the celestial reading of it consider their counterparts to be narrow-minded. The adherents of terrestrial love, though, see mystical readings dogmatic and outdated, prevailed by traditionalists. The topic gets even more complicated when one takes into account the attitudes in the medieval Muslim world toward pederasty, shāhid-bāzī, on the one hand, and the Divine Feminine /Masculine Beloved, on the other hand, and, thus, the gender of this beloved. The present article explores the beloved in Persian classical mystical poetry via five different but related approaches: historical, philosophical, translational and comparative, linguistic and poetic, and, ultimately, developmental. The study concludes that an essentialist reading of the beloved in Persian love mystic poetry would create numerous problems, and that the spirit of Persian classical poetry in this regard is the spirit of uncertainty with a certain purpose: it is the manifestation of the self-poet’s agency, choosing one’s object of desire without explicitly revealing it and, thus, living one’s own life of choice without fearing the threads of religious fundamentalism.

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)0.002
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 score0.418
Threshold uncertainty score0.872

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.013
GPT teacher head0.262
Teacher spread0.249 · 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
Published2022
Admission routes1
Has abstractyes

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