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Record W3172226322 · doi:10.3968/12108

In the Presence of Absence : Mahmoud Darwish’s “Living on Border Lines”

2021· article· en· W3172226322 on OpenAlexvenueno aff
Rasha Saeed Badurais

Bibliographic record

VenueStudies in literature and language · 2021
Typearticle
Languageen
FieldSocial Sciences
TopicJewish and Middle Eastern Studies
Canadian institutionsnot available
Fundersnot available
KeywordsDialecticIdentity (music)LiteraturePoetryPhilosophyElegyReading (process)HistoryPsychoanalysisArtAestheticsTheologyLinguisticsPsychology

Abstract

fetched live from OpenAlex

The present paper is an attempt to analyze the autobiographical elegizing volume of Mahmoud Darwish, In the Presence of Absence (2006), in light of the main lines of Derrida’s article “Living On: Border Lines” (1978). As known almost all the oeuvre of Darwish is a reflection of his main issue, Palestine. Considering his life in the chosen exile outside his motherland without any approaching final solution along with realizing the approach of his death due to heart disease, Darwish decides to write his elegy portraying the spiral enigma (double invagination) of the story “recit” of his survival on the margins of life. He keeps wo/andering, in his discourse with his “other,” who triumphs “me, you, or death?” The endless multilayered worlds in which the narrator lives serve several goals. It is the dialectic between the fictional and the real, especially that the whole volume is autobiographical. It grants the author, Darwish, eternal life through the words, letters, and the poetry, he bequeaths his readers; and this supports the tendency that Darwish’s identity is a call for postnational identity. Finally, the whole multilayered volume corresponds with the paradoxical connotations of “triumph of/over life/death.”

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)0.003
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 score0.009
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0090.016
Scholarly communication0.0060.005
Open science0.0010.006
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0020.000

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 head0.022
GPT teacher head0.360
Teacher spread0.338 · 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

Citations2
Published2021
Admission routes1
Has abstractyes

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Same venueStudies in literature and languageSame topicJewish and Middle Eastern StudiesFrench-language works237,207