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Record W3047447766

캐나다 다문화주의와 대항서사 — 마이클 온다체의 『사자 가죽을 입고』

2018· article· ko· W3047447766 on OpenAlexaboutno aff
김미령

Bibliographic record

Venue영어영문학21 · 2018
Typearticle
Languageko
FieldArts and Humanities
TopicPostcolonial and Cultural Literary Studies
Canadian institutionsnot available
Fundersnot available
KeywordsEpigraphNarrativeColonialismHistoryLiteratureNovellaObjectivity (philosophy)PoliticsPower (physics)AestheticsIndeterminacy (philosophy)PhilosophyArtEpistemologyLaw
DOInot available

Abstract

fetched live from OpenAlex

This article explores suppressed histories of those residing on the margins of social power as counter-narrative against the official history in Michael Ondaatje’s In the Skin of a Lion (1987). The novel is a ‘historiographic metafiction’ and deals with the immigrant workers in Canada. It is centered on the construction of the Bloor Street Viaduct and the Toronto Waterworks at the beginning of the 20th century. To dispel the myth of documentary objectivity and to recuperate the hidden histories of the dispossessed, the novel writes the counter-narrative silenced by the official archive. And it exposes the internal colonialism hidden in the past history of Canada. My reading relies upon two epigraphs that show the themes and aesthetics of the novel. Through a seeking of the past, Patrick Lewis’ journey from passive observer to political actor is mirrored in the first epigraph taken from the Epic of Gilgamesh. The second epigraph comes from John Berger’s G. It implies the style and strategies Ondaatje employs, such as fragmentation, indeterminacy, estrangement, and ambiguity in the form of collage. Also I read this novel focusing on colonialist psychology from the viewpoint of the colonial subject, the cultural outsider. I suggest that the novel reveals the ways in which colonialist psychology operates to sustain the imbalances of cultural power, that is, the colony within.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.380
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0020.001
Scholarly communication0.0010.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0200.016

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 head0.026
GPT teacher head0.236
Teacher spread0.210 · 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; both teacher heads agree on what is shown here.

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
Published2018
Admission routes1
Has abstractyes

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