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Record W3208869001

The Plague of Orientalism: Reading Kevin Chong in the Pandemic

2021· article· en· W3208869001 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueCanadian literature · 2021
Typearticle
Languageen
FieldPsychology
TopicLeadership, Courage, and Heroism Studies
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsPlague (disease)PoliticsReading (process)HistoricismPandemicHistoryOrientalismWhite (mutation)CovertImmigrationDemocracyMedia studiesSociologyLiteraturePolitical scienceCoronavirus disease 2019 (COVID-19)LawArtLinguisticsAncient historyPhilosophy
DOInot available

Abstract

fetched live from OpenAlex

Reading Kevin Chong’s 2018 novel The Plague in the 2020 COVID-19 pandemic, this article argues that historical conditions, including white supremacy in Canada and liberal democratic anxieties regarding same are rendered in the novel both through representative scenes (a political figure visits patients in a pandemic ward, a protest featuring anti-immigrant and anti-racist participants devolves into a riot) and through such speech acts as trigger warnings and land acknowledgments. An intersection of historicist and psychoanalytic interpretations warn against both simply ascribing textual scenes to a literal writing of the Real, and seeking to cordon off the text from the social.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.442
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.026
GPT teacher head0.290
Teacher spread0.264 · 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