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Record W2545520566 · doi:10.5539/ass.v12n12p82

Social Criticism in Hariri’s Maqamat with a Focus on Al-Wasiti’s Miniature Paintings

2016· article· en· W2545520566 on OpenAlexvenueno aff
Zahra Pakzad, Mahboube Panahi

Bibliographic record

VenueAsian Social Science · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Islamic Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPaintingStyle (visual arts)NarrativeFocus (optics)CriticismBeautyAestheticsLiteratureSociologyPsychologyHistoryArtVisual arts

Abstract

fetched live from OpenAlex

“Hariri’s Maqamat” is one of the most prominent and sophisticated books of Arabic literature in the Middle Ages that has been influential in the formation of novel stories in world literature. Apart from the beauty of the style, literary tune and various educational aspects, it presents social life and human behavior in the Arab world of the Middle Age in terms of a visually narrative format. Hariri’s Maqamat is a long illustrated story in Baghdad School which has been composed by Hariri and then illustrated by Mahmoud al-Wasiti. Al-Wasiti’s miniature paintings provide a lot of visual information about people’s behavior and their environment. This research aims at understanding social criticism scheme in that time by cooperation of text and image. Accordingly, several Maqamat and miniatures, which included more social information, were selected and considered using descriptive analysis technique. The results showed that al-Wasiti has clearly discovered Hariri's social critical viewpoint behind the complex language and emphasized that idea. He has also added some information which it would not be easily understandable by a reader of Maqamat book without applying pictures.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesScience and technology studies
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.884
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.003
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 head0.019
GPT teacher head0.336
Teacher spread0.317 · 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; both teacher heads agree on what is shown here.

Study designTheoretical or conceptual
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

Citations3
Published2016
Admission routes1
Has abstractyes

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