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Record W4286499735 · doi:10.3126/pursuits.v6i1.46882

Transnational Identity in Anil’s Ghost

2022· article· en· W4286499735 on OpenAlexaboutno aff
Ravi Kumar Shrestha

Bibliographic record

VenuePursuits A Journal of English Studies · 2022
Typearticle
Languageen
FieldArts and Humanities
TopicSouth Asian Studies and Diaspora
Canadian institutionsnot available
Fundersnot available
KeywordsTamilIdentity (music)CitizenshipSri lankaPolitical scienceDisplacement (psychology)Government (linguistics)SociologyGender studiesPolitical economyLawSouth asiaEthnologyPoliticsArtPhilosophyAestheticsLiteraturePsychoanalysisPsychology

Abstract

fetched live from OpenAlex

Anil Tessera who is portrayed as the central character in the novel seems to be like Michael Ondaatje who is a transnational Sri Lankan and Canadian writer. Like Ondaatje, Anil carries dual citizenship. On the one hand, the novel shows how Anil returns to Sri Lanka i.e. her home country in the middle of the civil war when the government armies fight with Tamil Tigers and insurgent Sinhalese. On the other hand, the novel mainly focuses on Anil’s transnational identity. The novel reflects different reasons for Anil to carry transnational identity: the dissolution of boundaries and crossborder activities, her return to the home country, her connection to the home country, her sense of loss and displacement, and the conflict between national and transnational.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.443
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
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)0.0010.000

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 head0.047
GPT teacher head0.288
Teacher spread0.241 · 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.

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

Citations1
Published2022
Admission routes1
Has abstractyes

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