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Record W2990477233

THE INTERACTION: BANOO ZAN’S SONGS OF EXILE IN BHABHA’S POST-COLONIALISM

2019· article· en· W2990477233 on OpenAlexaboutno aff
Sona Jafari Nasab

Bibliographic record

VenueDergiPark (Istanbul University) · 2019
Typearticle
Languageen
FieldArts and Humanities
TopicSouth Asian Cinema and Culture
Canadian institutionsnot available
Fundersnot available
KeywordsColonialismArtHistoryLiteratureArchaeology
DOInot available

Abstract

fetched live from OpenAlex

Diasporic Literature goes beyond the difference of culture and provides the space that an immigrant can present him/herself in a new identity. Songs of Exile is an instance of this kind of presentattion of an Iranian poet Banoo Zan landed in Canada in which she presents the different form of narration) that unearthes the layers of her identity and culture in exile. In fact, thorugh the lens of Bhabha, Banoo Zan challenges the integration of the convention of confirmed selfhood and heritage of the colonizer in the crashes happening between two different cul-tures. Her poems demonstrate the subjectification process through her past and the stereotype of the new culture based on Bhabha’s hybridity in order to provide us with a better view of international culture. Therefore what makes this research significant is Bhabha’s approach to interpret the conflicts by which the meaning of home and belonging transfers into the concrete one rather than a national fact which gives the colonized a state of suspension, so she can fill the gaps of the colonizer’s cultures with whatever she is carrying from her past to form a new version of hybrid identity.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.068
Threshold uncertainty score0.136

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0220.009
Scholarly communication0.0050.002
Open science0.0010.005
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.008
GPT teacher head0.178
Teacher spread0.170 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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
Published2019
Admission routes1
Has abstractyes

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