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Home > Afghan Ethnic and Social Politics Depicted in ‘The Kite Runner’

Afghan Ethnic and Social Politics Depicted in ‘The Kite Runner’

Thesis Info

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Author

Shah, Irfan Ali

Program

PhD

Institute

University of Peshawar

City

Peshawar

Province

KPK

Country

Pakistan

Thesis Completing Year

2019

Thesis Completion Status

Completed

Subject

Central Asian studies

Language

English

Link

http://prr.hec.gov.pk/jspui/bitstream/123456789/9697/1/Irfan_ali_shah_UoPeshawar%20_2019_Central_asian_studie.pdf

Added

2021-02-17 19:49:13

Modified

2024-03-24 20:25:49

ARI ID

1676724457062

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This work attempts to examine the depiction of ethnic disparity between the Pashtun and Hazara in the novel, The Kite Runner. It argues that the ethnic disparity between the Pashtun and Hazara exists in the novel. It also argues that an internal orientalist discourse is embedded in the text of the novel. The Kite Runner is the first novel in English written by Khaled Hossenei, an Afghan-American (and Hazara), in the United States, in 2003. It portrays the ethno-political culture of Afghanistan from the end of monarchy (1973) till the fall of Taliban regime (2001). The story revolves around two characters: Amir, an ethnic Pashtun, Sunni, and wealthy, and Hassan, servant of Amir‘s father, an ethnic Hazara, Shia. Novel writing/reading began, in Afghanistan, in the early 20th century, while, ethnicity became salient in last three decades of the century. Afghanistan is a multi-ethnic state, comprising more than 50 ethnic groups, though, the Afghan Constitution, 2004, recognizes only 14 ethnic groups: Pashtun, Tajik, Hazara, Uzbek, Turkmen, Baluch, Pashai, Nuristani, Aimaq, Arab, Kirghiz, Qizilbash, Gujar, and Brahui. The Pashtun, Tajik, Hazara, and Uzbek are the major ethnic groups, in the order respectively, whose coethnics reside in the neighbouring states of Afghanistan such as, Pakistan, Tajikistan, Iran, and Uzbekistan. The ethnic Pashtun ruled the country throughout its history since 1747, barring two brief spans (1929 and 1992-94) when ethnic Tajik ruled. This work employs internal orientalism as its theoretical framework and applies analytical and interpretive methods. To explore discourse of ethnic disparity in The Kite Runner, Michel Foucault‘s method of discourse analysis has been applied in chapter 5. Hence, Hossenei‘s relevant statements regarding ethnic: divisions, disparity; polarity; especially, between the Pashtun and Hazara, have been analyzed and interpreted. Chapter 1 attempts to develop a conceptual base and theoretical framework.It provides an overview of the geography, charting various Afghan ethnic groups and estimates major ethnic groups on the basis of available surveys and sources in Afghanistan: Pashtun 44%; Tajik 29%; Hazara 9%; Uzbek 7% and other smaller ethnic groups constitute around 11% of the Afghan population. It also describes instances of forced displacement of tribes and ethnic cleansing in Afghanistan, besides introducing the novel, The Kite Runner, its author, Khaled Hossenei. It states research questions, hypotheses, theoretical framework and methodology too. Chapter 2 argues that qaum, a flexible term, referring to (kin, clan, village, tribe, ethnic/vocational/confessional group, profession, and/or nation) and ethnicity became salient in Afghanistan during the last three decades of the 20th century. It examines how the promulgation of 1964 Constitution in Afghanistan stirred political struggle between various ethnic groups, the Pashtun and non-Pashtun, for power, and, how, the Soviet invasion, in 1979, stimulated and politicised ethnicity. It further describes how, conversely, the Mujahideen (1992-96) and the Taliban (1996-2001), though Islamists, ethnicised politics that resulted into ethnic: violence; cleansing; and/or conflict. Ethnicity became further salient during the post-Taliban periods due to power sharing arrangements on ethnic basis. The review of existing literature on the topic in Chapter 3 points out that ethnic division, polarity, and conflict as core issues have been strengthened in Afghanistan during the last three decades of the 20th century. Sectarianism and ethnic: mobilization; cleansing also increased. During this period, foreign interference and warlordism increased ethnic and sectarian polarization, however, it did not spread to the masses. The neighbouring states of Afghanistan: Pakistan; Tajikistan; Iran; Uzbekistan; comprising a population of same ethnicity, have a natural advantage to meddle into the political affairs of Afghanistan. Chapter 4 discusses the origin and evolution of novel in Afghanistan in the 20th century. It establishes that dastan (romances) existed prior to the advent of novel in the early 20th century. It further establishes that French novel was imported into Afghanistan, in form of translation, through Sirajul Akhbar, from Turkish sources. Novel introduced Afghans to, non-existent in dastan, realism in story, character development, and plot. Imported Tajik/Soviet/Kirghiz/ Persian/Russian, and American novels have impacted the Afghan novel. The important Tajik and Kirghiz novels included: Margi Sudkur, Yatim, Gulomon, Jalladon-e Bokhara; of Sadriddin Ayni; Jamila: of Chingez Aitmatov. American novels included: White Fang of Jack London and The Grapes of Wrath of John Ernst Steinbeck.Earlier indigenous Afghan novels such as, Paighla (1950) of Sahibzada Muhammad Idrees, Be-Tarbiata Zoi (1939-40) of Noor Muhammad Taraki in Pashto, and Jihad-e Akbar (1919) of Molvi Muhammad Hussain Panjabi, Begum (1930) of Suleman Ali Jaghori in Dari, written in the 20th century, reflected societal realities. Chapter 5 establishes on the basis of interpretation and analysis of Hossenei‘s statements of ethnic politics in The Kite Runner that Pashtun is superior but treacherous; unimaginative, brutal, and aberrant, while Hazara, inferior but loyal; imaginative, humane, and protector. There exists a binary of Us (Hazara) and Them (Pashtun) in the novel. The treachery of Pashtun character, and the portrayal of Taliban confining as ethnic Pashtun is vilifying in the novel. Besides, Hossenei has eulogized the USA; therefore, the novel may also be considered an apology for the War on Terror in Afghanistan. Chapter 6 concludes that Hossenei‘s depiction of ethnic disparity in the novel seems exaggerated. He created a schism between Pashtun and Hazara with the help of orientalist knowledge and power. The division of Us (Hazara) and Them (Pashtun) in the novel is exaggerated, misleading and biased.
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سید اختر علی تلہری

سید اختر علی تلہری
سید اختر علی صاحب فن شاعر اور نکتہ سنج ادیب تھے، اردو اور فارسی زبان و ادب پر استادانہ نظر تھی، عربی اور انگریزی سے بھی واقف تھے، ساری عمر درس و تدریس اور تالیف و تصنیف میں گذری، ان کے تلامذہ کا دائرہ بہت وسیع ہے ان کی تربیت نے بہت سے شاعر و ادیب پیدا کردیے، ان کا کلام اور مضامین رسالوں میں نکلتے رہتے تھے، معارف میں بھی ان کی غزلیں شائع ہوتی تھیں، عرصہ ہوا معارف میں ہندوستان کے عربی شعرا پر ایک مبسوط مضمون شائع ہوا تھا، اتفاق سے اس میں کسی شیعہ شاعر کا ذکر نہ تھا، تلہری صاحب نے مجھ کو شکایت کا خط لکھا میں نے جواب دیا کہ اس میں میرا قصور نہیں ہے مضمون جس شکل میں آیا تھا میں نے شائع کردیا، اگر آپ شیعہ شعرا پر لکھ بھیجیں تو اس کو بھی شائع کردیا جائے گا، چنانچہ یہ مضمون انھوں نے لکھ کر بھیجا اور وہ شائع ہوا، مضامین کے علاوہ مستقل علمی و ادبی تصانیف بھی ان کی یاد گار ہیں، آج کل شاعروں اور ادیبوں کی کمی نہیں، ان کی تعداد روز افزوں ہے اس سے نظم و نثر دونوں کا دامن بہت وسیع ہوگیا ہے لیکن فنی مہارت اور علمی و ادبی بصیرت مفقود ہوتی جاتی ہے۔ تلہری مرحوم کی وفات سے ایک صاحبِ علم و ادب اور صاحبِ فن شاعر اٹھ گیا۔ اﷲ تعالیٰ ان کی مغفرت فرمائے۔ (شاہ معین الدین ندوی، مئی ۱۹۷۱ء)

ASSESSING THE IMPACT OF POSITIONAL RELEASE TECHNIQUE AND MUSCLE ENERGY TECHNIQUE ON LOW BACK PAIN-A RANDOMIZED CONTROLLED TRIAL

Aims of Study: The purpose of this study is to ascertain the impact of positional release technique and muscular energy technique on low back pain. Methodology: It was a single blinded randomized controlled trial. Participants were enrolled using envelop method of simple random sampling technique. A total n=30 clinically diagnosed LBP patients with between 26 to 40 y/o were recruited and randomly divided into two groups. Group-A MET (n=15) patients receiving muscle energy technique and Group-B PRT (n=15) patients receiving Positional Release Technique for two weeks. Results: Between groups analysis was performed using independent t test as the data was normally distributed. The results revealed statically significant results in both the groups. However, group A show more significant results with mean value of 2.0±0.53, 10.73±1.79, and 2.80±0.14 for NPRS, ODI, and Modified Schober’s Test Score respectively as shown in table 3. Limitations and Future Implications: The study may have had a limited number of participants, which could affect the generalizability of the results. Secondly, the study might have focused on short-term outcomes, assessing the immediate effects of the interventions. Originality: The study has used and compared new technique and have identified the efficacy between the two physical therapy intervention based study. Conclusions According to the findings of this study, both therapy options are successful in treating low back pain. The effectiveness of the patients in the muscle energy technique group, however, showed a substantial difference.

On Pythagorean Hesitant Fuzzy Sets and Their Application to Group Decision Making Problems

The idea of multi-attribute decision making (MADM) has extensively been studied in the real life decision making and is of disquiet to researchers and proprietors. The leading purpose is to make accessible a complete solution by guessing and ranking alternatives based on differing attributes with respect to decision makers (DMs) choices and has broadly been used in engineering, economics, medical diagnoses and management. Acquiring sufficient and accurate data for practical decision making is difficult because of the high complexity of socioeconomics. In response to this issue, Zadeh [63] introduced the concept of fuzzy set, which has been widely used in many fields in our modern society. However, the fuzzy set theory is discreetly different with some limitations while decision makers suggest to deal with some ambiguous information convinced from numerous causes of vagueness, the attributes elaborate in decision making problems are not constantly specified in real numbers and roughly are enhanced, suitable to be represented by fuzzy values, for instance interval values (IVs) [8], linguistic variables (LVs) [19], intuitionistic fuzzy values (IFVs) [4, 5] and hesitant fuzzy elements (HFEs) [44, 45] Dual hesitant fuzzy elements (DHFEs) [6969], Pythagorean fuzzy values (PFVs) [ 59, 60], just to reference a few. This thesis consist of eight chaptersIn chapter one, we present some basic definitions such as aggregation operators, fuzzy sets, intuitionistic fuzzy sets, hesitant fuzzy sets, Pythagorean hesitant fuzzy sets and intuitionistic hesitant fuzzy sets. The study of this chapter is the building block for our further study. In chapter two, we introduce the concept of Pythagorean hesitant fuzzy set (PHFS) as a generalization of intuitionistic hesitant fuzzy set (IHFS). The PHFS is characterized as a membership degree and a non-membership degree and full fill the condition that the square sum of the membership degrees is less than or equal to one. We define some basic operation for PHFS and discuss some properties of Pythagorean hesitant fuzzy numbers (PHFNs). We define score and deviation degree for the comparison between the PHFNs. We define a distance measure between PHFNs. On the bases of proposed operation we develop Pythagorean hesitant fuzzy aggregation operators namely, Pythagorean hesitant fuzzy weighted averaging (PHFWA) operator, Pythagorean hesitant fuzzy weighted geometric (PHFWG) operator, Pythagorean hesitant fuzzy ordered weighted averaging (PHFOWA) operator and Pythagorean hesitant fuzzy ordered weighted geometric (PHFOWG) operator. We study some properties such as idempotency, monotonicity and boundedness of the developed operators. We develop the maximizing deviation method for solving multi-attribute decision making (MADM) problems, in which the evaluation information provided by the decision makers (DMs) is expressed in Pythagorean hesitant fuzzy numbers and the information about attribute weights is incomplete. Moreover we present a MADM approach based on the developed operators. Furthermore a numerical is given to show the validity and practicality of the proposed method. Finally we compare the proposed approaches with existing methods.In chapter three, we develop generalized aggregation operators for Pythagorean hesitant fuzzy information namely generalized Pythagorean hesitant fuzzy weighted averaging (GPHFWAλ) operator, generalized Pythagorean hesitant fuzzy weighted geometric (GPHFWGλ) operator, generalized Pythagorean hesitant fuzzy ordered weighted averaging (GPHFOWAλ) operator, generalized Pythagorean hesitant fuzzy ordered weighted geometric (GPHFOWGλ) operator. We discuss some relationship between Pythagorean hesitant fuzzy numbers and the develop aggregation operators. Moreover we present a multi-attribute decision making (MADM) approach based on the developed operators. Finally a numerical is given to show the validity and practicality of the proposed method.In chapter four, we develop hybrid aggregation operators for Pythagorean hesitant fuzzy information namely, Pythagorean hesitant fuzzy hybrid weighted averaging (PHFHWA) operator, Pythagorean hesitant fuzzy hybrid weighted geometric (PHFHWG) operator generalized Pythagorean hesitant fuzzy hybrid weighted averaging (GPHFHWAλ) operator and generalized Pythagorean hesitant fuzzy hybrid weighted geometric (GPHFHWGλ) operator. These developed operators can weight both the argument and their ordered positions. Also some numerical examples are given to illustrate the developed operators. Moreover we develop a multiattribute group decision making (MAGDM) approach based on the proposed operators. Finally, we give a numerical example to show the effectiveness and flexibility of the proposed method.In chapter five, we develop Pythagorean hesitant fuzzy Choquet integral averaging (PHFCIA) operator, Pythagorean hesitant fuzzy Choquet integral geometric (PHFCIG) operator, generalized Pythagorean hesitant fuzzy Choquet integral averaging (GPHFCIAλ) operator and generalized Pythagorean hesitant fuzzy Choquet integral geometric (GPHFCIGλ) operator. We also discuss some properties such as idempotency, monotonicity and boundedness of the developed operators. Moreover we apply the developed operators to multi-attribute decision making (MADM) problem to show the validity and effectiveness of the developed operators. Finally a comparison analysis is given. In chapter six, we propose a novel approach based on Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) method and the maximizing deviation method for solving multi-attribute decision making (MADM) problems where the evaluation information provided by the decision maker is expressed in Pythagorean hesitant fuzzy numbers and the information about attribute weights is incomplete. To determine the attribute weight we develop an optimization model based on maximizing deviation method. Finally we provide a practical decision-making problem to demonstrate the implementation process of the proposed method.In chapter seven, we proposed a broad new extension of classical VIKOR method for multi-attribute decision making (MADM) problems with Pythagorean hesitant fuzzy information. Basically VIKOR method of compromise ranking determines a compromise solution, which provides a maximum "group utility" for the "majority" and a minimum of an "individual regret" for the "opponent" and is an effective tool to solve MADM problems. To do this first we give some basic definitions and analogous concepts, and the basic steps of classical VIKOR method are introduced. Different situations of attribute weight information are considered. If attribute weights are partly known a linear programming model is set up based on the idea that reasonable weights should make the relative closeness of each alternative evaluation value to the Pythagorean hesitant fuzzy positive ideal solution as large as possible. If attribute weights are unknown completely, an optimization model is set up based on the maximum deviation method. We describe a MADM problem and present the steps of VIKOR method under the Pythagorean hesitant fuzzy environment. Finally a numerical example is presented to illustrate feasibility and practical advantages of the proposed method.In chapter eight, we extend an acronym in Portuguese for Interactive Multi-Criteria Decision Making (TODIM) method to solve the MADM problems under Pythagorean hesitant fuzzy environment. First we introduce Pythagorean hesitant fuzzy Euclidean distance and then Pythagorean hesitant fuzzy TODIM approach is proposed for MADM problems. To show the effectiveness and applicability of the proposed method an energy policy selection problem has been given.