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Record W3209229942

레바논 여성작가 에밀리 나스랄라의 장편소설에 나타난 내전 속 남성과 여성의 태도에 관한 고찰 -『그 기억들』과 『시간을 거슬러간 비행』을 중심으로-

2007· article· ko· W3209229942 on OpenAlexaboutno aff
하주형

Bibliographic record

Venue아랍어와 아랍문학 · 2007
Typearticle
Languageko
FieldSocial Sciences
TopicMiddle East Politics and Society
Canadian institutionsnot available
Fundersnot available
KeywordsSpanish Civil WarEmigrationImmigrationSubject (documents)HistorySettlement (finance)Relation (database)World War IIPolitical scienceLawSociology
DOInot available

Abstract

fetched live from OpenAlex

Among many countries in the Middle East which have experienced of wars, Lebanon has suffered the civil war from 1975 to 1991 and the country become more miserable by the attack of Israel in the summer 2006, before they overcome the civil war. If a novelist is creative and has an excellent literary turn, his works would not avoid the reality. Therefore, Lebanese`s life is dissolved in their literary works, of course, and the relation between the wars which Lebanese experienced and their literature has been interacted. Therefore, for the study of attitude men`s and women`s, the female Lebanese novelist Emily Nasrallah(1931- ) is suitable. She treats the life under war realistically. In addition, she takes the emigration as a main subject which is a serious matter in their society. The main novels in this study are 『Those Memories(1978)』 and 『Flight against Time(1981)』. Both of them were written under the civil war. The first one happens in their country at war, Lebanon, and the other in Canada. The background is different but the most serious matter in Lebanon is emigration, so we need to refer to the life of immigrant for reality. 『Those memories』 is giving out the tension of the war. The war is described deeply and accurately in the novel over all, and above all things, it describes terrible sights and sad situations realistically which we would not imagine without experience. 『Flight against Time』 has two questions; ``How`s the life on the settlement?`` and ``Is it the best way to leave the country because is it at war?``. I would like to search the change of consciousness and awareness of characters under the civil war in the two texts by two axes of man and woman. Characters` consciousness and attitude under the war as follows: Firstly, Conversion of gender role. Gender role is changed and reversed. the role of women has been on duties for ``inner`` and man has been a role ``outer``, become collapse and confused. At 『Flight against Time』 a man couldn`t speak English and then woman manages the store. this scene superficially women`s class gets higher, but from other view, women suffer from the war and also makes a living, so It is a real reflection that they afflicts double distress. on the other hand, the man also lost their role as a male, they feels they are useless. Secondly, Relationship between men and women. Getting more strong solidarity with man. they realized the most important is cooperation under the war. in the texts the scene of repairing houses or cultivating their farm land, they couldn`t it without cooperation. Thirdly, Awareness of responsibility to their children. Emily Nasrallah points out maternal love more than construction or improvement of the country. this view is attractive. by emphasis on maternal love under the war, It makes that they consider their country as like son and daughter is ill in bed. At the same time, the paternal love is mainly subjected especially in the 『Flight against time』. It reflects that this novel respects the role of a man due to women`s voices obtained persuasive power. Fourthly, The matter of leaving and remain. The conflict between emigrants and the people who remain is treated through two works. Any side of them wouldn`t be criticized, but novelist and novels point out that if all Lebanese would leave the country, it will bring crisis to the country.

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)0.004
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.822
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0010.000
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.003

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 head0.027
GPT teacher head0.322
Teacher spread0.295 · 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 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

Citations0
Published2007
Admission routes1
Has abstractyes

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