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Record W3081164254 · doi:10.3968/11778

The Experience of Coexistence and Love: A Critical Study of Al-Muqri’s The Handsome Jew

2020· article· en· W3081164254 on OpenAlexvenueno aff
Ali Ahmed Mused Al-Subari

Bibliographic record

VenueCanadian social science · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicJewish and Middle Eastern Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHatredHumanityIdeologyJudaismSociologyNothingRelation (database)Gender studiesPeaceful coexistenceReligious studiesAestheticsPoliticsLawEpistemologyTheologyPolitical sciencePhilosophy

Abstract

fetched live from OpenAlex

This study aims at exploring issue of coexistence and love in Yemeni society in the seventeenth century represented in Al- Muqri’s The Handsome Jew by the prominent characters Fatima, a Muslim, and Salem, a Jew. The experience of coexistence is still controversial that has not received enough study in the light of the complexities that are involved in understanding the reasons of violence, social and religious conflicts in order to accept the culture and ideas of the other. The objective of the study is to show how this issue affects Muslim- Jewish women and men in a city that opens its doors for all people. Coexistence theory has often shed light on the language and practice of living together and love stories between Muslim women and Jewish boys and vice versa that stemmed from the social, cultural and religious coexistent in Yemeni society. Al-Muqri’s novel depicts Muslim-Jewish love relation in a way that counters religious and conventional ideas. It is concluded that Ali Al-Muqri addresses the issues of tolerant and peaceful love of human beings that transcends religion, sects and classes. In this sense, he tries hardly to consolidate not only his views, but also all views about the values of cultural, religious and social tolerance and coexistence away from stereotypes, intolerance, racial discrimination and ideological hatred that leave nothing, but destruction to all of humanity.

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)0.002
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: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.231
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.008
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.053
GPT teacher head0.337
Teacher spread0.284 · 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 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

Citations0
Published2020
Admission routes1
Has abstractyes

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