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Record W2809710322 · doi:10.3138/cras.2018.008

Commemorating Freedom: The Fortieth Anniversary of the “Fall of Saigon” in Canada

2018· article· en· W2809710322 on OpenAlexvenueaboutno aff
Nguyễn Quang Vịnh

Bibliographic record

VenueCanadian Review of American Studies · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicVietnamese History and Culture Studies
Canadian institutionsnot available
Fundersnot available
KeywordsHuman rightsRefugeeVietnamesePolitical scienceState (computer science)LawTortureCommunismConstitutionAgency (philosophy)ParliamentGender studiesSociologyPolitics

Abstract

fetched live from OpenAlex

On 30 April 2015, hundreds of Vietnamese Canadians congregated on Parliament Hill in Ottawa, the nation's capital, to commemorate the fortieth anniversary of the end of the Vietnam War and to celebrate the proposed state-sponsored construction of the Memorial to the Victims of Communism. Amidst a sea of Canadian and South Vietnamese flags, former refugees denounced the Vietnamese government for its human rights abuses, focalizing the “problem” of forced migration and refuge(es) on the issue of rights over those of war and geopolitical conflict. This telling scene demonstrates how Vietnamese diasporics remember their histories and negotiate their place within the Canadian national imaginary through the discourse of human rights. It reveals how such rememberings are legitimated and appropriated by the state and how they work to construct a particular understanding of the “good” of refuge. Employing the commemoration event in Ottawa as a site of analysis, this article explores the entanglements of refugee discourse and human rights. The mobilization of human rights by former refugees, as a form of national visibility, necessitates an examination of the ways in which refugees have relied upon the language of rights to make various claims: for asylum, for recognition, for diasporic agency, and for community formation. Human rights, then, do not just form the basis for claiming legal status as “refugees” but also critically function as a force that sustains various collective identities (personal, diasporic, and national) produced in the aftermath of migration and refuge.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.161
Threshold uncertainty score0.973

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0720.014
Scholarly communication0.0120.002
Open science0.0020.008
Research integrity0.0050.009
Insufficient payload (model declined to judge)0.0120.001

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 head0.027
GPT teacher head0.300
Teacher spread0.273 · 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 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

Citations11
Published2018
Admission routes2
Has abstractyes

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Same venueCanadian Review of American StudiesSame topicVietnamese History and Culture StudiesFrench-language works237,207