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Record W1534864277

A Journey to “Partial Cosmopolitanism” in Michael Ondaatje’s Anil’s Ghost

2013· article· en· W1534864277 on OpenAlexvenueno aff
Tuire Valkeakari

Bibliographic record

VenueStudies in Canadian Literature · 2013
Typearticle
Languageen
FieldArts and Humanities
TopicSouth Asian Studies and Diaspora
Canadian institutionsnot available
Fundersnot available
KeywordsCosmopolitanismNarrativeSociologySri lankaKwameAestheticsPhilosophyLiteratureLawAnthropologyArtPolitical scienceSouth asiaPolitics
DOInot available

Abstract

fetched live from OpenAlex

Michael Ondaatje's Anil's Ghost (2000) can be read as a complex, open-ended narrative about and its viability as a moral choice and way of life. While Ondaatje's portrait of his protagonist, Anil -- a transnational nomad whom many scholars consider privileged, indifferent, and detached -- has evoked conflicting critical responses, Kwame Anthony Appiah's concept of cosmopolitanism offers a fitting interpretive key to understanding her role in the novel. Appiah, accepting neither strict nor anti-cosmopolitanism, promotes a version of that both recognizes the existence of a global human community that creates universal moral obligations and argues that we have special responsibilities to those closest to us, including our compatriots (hence the attribute partial). As many critics have observed, Anil's Ghost acknowledges at the outset the cosmopolitan Anil's alienation from her country of origin, Sri Lanka. However, the novel also depicts the formation of an emotionally and morally significant reconnection that gradually facilitates the emergence of Anil's cosmopolitanism in the sense proposed by Appiah. Anil's work assignment in her war-torn native country ends tragically, but it is the war, not the ethics of the partial cosmopolitan, that the narrative condemns.

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)0.002
metaresearch head score (Gemma)0.002
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 score0.989
Threshold uncertainty score0.039

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0240.025
Scholarly communication0.0120.006
Open science0.0010.006
Research integrity0.0030.008
Insufficient payload (model declined to judge)0.0030.000

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 head0.046
GPT teacher head0.289
Teacher spread0.243 · 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
Published2013
Admission routes1
Has abstractyes

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Same venueStudies in Canadian LiteratureSame topicSouth Asian Studies and DiasporaFrench-language works237,207