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Vietnamese Canadian Refugee Aesthetics

2019· reference-entry· en· W2929772431 on OpenAlexaffabout
Nguyễn Quang Vịnh

Bibliographic record

VenueOxford Research Encyclopedia of Literature · 2019
Typereference-entry
Languageen
FieldSocial Sciences
TopicVietnamese History and Culture Studies
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsRefugeeVietnameseVietnam WarPoliticsAestheticsHomecomingGender studiesContext (archaeology)NarrativeVictoryMulticulturalismPolitical scienceSociologyHistoryLiteratureArtLaw

Abstract

fetched live from OpenAlex

Abstract Vietnamese Canadian refugee aesthetics are the diverse expressions of how hundreds of thousands of refugees and their descendants experienced the Vietnam War and its aftermath. They are shaped on the one hand by a history of war in, and forced migration from, Vietnam and on the other by resettlement in multicultural Canada. Significantly, Vietnamese Canadian refugee aesthetics are produced within a distinct context of Canadian “forgetting of complicity” in the Vietnam War. A major shaping force of this aesthetics is the idea that Canada was an innocent bystander or facilitator of peace during the war years, instead of a complicit participant providing arms and supporting a Western bloc victory. This allows, then, for a discourse of Canadian humanitarianism to emerge as Canada resettled refugees in the war’s wake. Vietnamese Canadian refugee aesthetics are produced and received in relation to the enduring narrative of Canadian benevolence. In this way, they celebrate the nation-state and its peoples through gratitude for the gift of refuge. More importantly, however, they illuminate life during and in the wake of war; the personal, political, and historical reasons for migration; the struggles and triumphs of resettlement; and the complexities of diasporic existence. Refugee aesthetics are driven by memory and the desire to commemorate, communicate, and make sense of difficult pasts and the embodied present. They often take the form of literary works such as memoirs, novels, and poetry, but they are also found in community politics and activism, such as commemoration events and protests, and other popular media like public service videos. Produced by refugees as well as the state, these aesthetic “texts” index themes and problematics such as the formation of voice; the interplay between memory, history, and identity; the role of autobiography; and the modes of representing war, violence, and refuge-seeking.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Research integrity
Consensus categoriesResearch integrity
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.357
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0020.001
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0020.004
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 head0.037
GPT teacher head0.351
Teacher spread0.314 · 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
GenreOther

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 routes2
Has abstractyes

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