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Record W2127864174 · doi:10.5539/ells.v5n3p51

Redefining the Notion of National Belonging: A New Approach to the Identity Problem in Pakistani English Fiction

2015· article· en· W2127864174 on OpenAlexvenueno aff
Mahıra Hajıyeva

Bibliographic record

VenueEnglish Language and Literature Studies · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicPolitics and Conflicts in Afghanistan, Pakistan, and Middle East
Canadian institutionsnot available
Fundersnot available
KeywordsIdeologyMulticulturalismNarrativeNational identityPower (physics)Identity (music)Character (mathematics)SociologyCultural identitySpace (punctuation)AestheticsEpistemologyGender studiesMedia studiesPolitical scienceLinguisticsSocial scienceLawPoliticsPhilosophyPedagogyMathematics

Abstract

fetched live from OpenAlex

Pakistani English Literature, with its multicultural character, gives us a unique chance to explore notion of national belonging which is often underlying cause of conflicts stemming from intolerance and ideology based on stereotyped images. As literature provides a chance to live various kinds of experience unlimited in space and time, a reader becomes a part of the narration and is given an opportunity to form his/her own concept of cultural belonging and national identity. The purpose of the paper is to research Pakistani English Literature from these perspectives and display the ways Pakistani writers use to achieve to discuss the above mentioned ideas and provide the reader with a unique opportunity to foresee the future of any society that fails to approach the canonical fixed notion of borderline between cultural and national identities. By this way, they prove the ideological power of literature as a part of cultural process which may serve to create liberal or on the contrary, conservative outlook.

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)0.002
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.938
Threshold uncertainty score0.268

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.037
GPT teacher head0.328
Teacher spread0.291 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2015
Admission routes1
Has abstractyes

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