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Aesthetic Dying: The Arab's Heroic Encounter with Death

2010· article· en· W2155253327 on OpenAlexvenueno aff
Nayef Ali Al-Joulan

Bibliographic record

VenueCanadian social science · 2010
Typearticle
Languageen
FieldSocial Sciences
TopicIslamic Studies and History
Canadian institutionsnot available
Fundersnot available
KeywordsElegyElegiacPoetryLiteratureSorrowArtPhilosophyHumanitiesConsolation

Abstract

fetched live from OpenAlex

This paper examines the classical Arab poet Ibn Ar-Rayb’s poem “Malik Ibn Ar-Rayb Yarthy Nafsah”, “Malik Ibn Ar-Rayb mourning his own death”, to underline elegiac patterns in Arabic poetry and pave the way for comparative studies of self elegies and elegiac verse across cultures and languages. It is to be asserted that this study of Ibn Ar-Rayb’s self-elegy is not meant to exclude the abundant elegiac verse in Arab culture; rather, it is a case study of a representative example of an Arab poet who wrote an elegy in which he mourned his conceived death, a particular case of mourning. It turns out that the elegiac pattern of the poem adopts sorrow, sincerity, and praise at its core while emphasizing the qualities of the mind and the spirit, and transforming personal grief into universal philosophical statements on the futility of human existence, death, human relations, and poetic creativity. Poetry is celebrated as a distinction the loss of which to mourn, the power of which to pride oneself at, and the help of which to invoke in order to eloquently (still sincerely) express the situation of mourning and, at the same time, immortalize the poet. Keywords: Ibn Ar-Rayb; Arabic poetry; elegy; death; “riTHaa?” Resume: Cet article examine le poeme Malik Ibn Ar-Rayb Yarthy Nafsah - Malik Ibn Ar-Rayb en deuil de sa propre d'un poete arabe classique Ibn Ar-Rayb, afin de souligner les modeles elegiaque dans la poesie arabe et ouvrir la voie a des etudes comparatives des auto-elegies et des vers elegiaques a travers les cultures et les langues. Il doit etre affirme que cette etude sur l'auto-elegie d'Ibn Ar-Rayb n'est pas destinee a exclure les versets elegiaques abondants dans la culture arabe; c'est plutot une etude de cas d'un exemple representatif d'un poete arabe qui a ecrit une elegie dans laquelle il a pleure sa mort imaginee, un cas particulier de deuil. Il s'avere que le modele elegiaque du poeme adopte la douleur, la sincerite, et la louange a la base tout en mettant l'accent sur les qualites de la pensee et de l'esprit, et en transformant la douleur personnelle en enonces philosophiques universels sur la futilite de l'existence humaine, la mort, les relations humaines , et la creativite poetique. La poesie est celebree comme une distinction dont la perte est a deplorer, la puissance est a faire l'honneur, et l'aide de laquelle est a invoquer afin d'exprimer eloquement (encore sincerement) la situation de deuil et, en meme temps, immortaliser le poete.Mots-cles: Ibn Ar-Rayb; poesie arabe; elegie, mort; riTHaa?

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)0.002
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.015
Threshold uncertainty score0.015

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.005
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0150.016
Scholarly communication0.0070.004
Open science0.0010.006
Research integrity0.0020.005
Insufficient payload (model declined to judge)0.0040.001

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 head0.014
GPT teacher head0.250
Teacher spread0.236 · 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 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".

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Citations0
Published2010
Admission routes1
Has abstractyes

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