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Record W4385956515 · doi:10.5038/1911-9933.17.1.1906

Why China Cares about Canada’s Indigenous Residential Schools: from Whataboutism to Internal Denial

2023· article· en· W4385956515 on OpenAlexaffvenueabout
Xiyuan Xia

Bibliographic record

VenueGenocide Studies and Prevention · 2023
Typearticle
Languageen
FieldSocial Sciences
TopicChina's Ethnic Minorities and Relations
Canadian institutionsUniversity of Manitoba
Fundersnot available
KeywordsGenocideIndigenousPolitical scienceChinaPersecutionGovernment (linguistics)SociologyCriminologyPoliticsLaw

Abstract

fetched live from OpenAlex

This article examines how the Chinese government and its propaganda departments use genocide-related discourses to fulfil different political purposes at home and abroad. By criticizing Western colonialist regimes’ assimilation policies, especially Canada’s Indigenous residential schools, the Chinese diplomats apply the rhetoric of whataboutism to dodge the international community’s questions about China’s systematic persecution of Uyghur Muslims. Domestically, China’s state media intensively cover Canada’s residential school system and the colonial genocide against Indigenous people, trying to distract the audience from the state atrocities in Xinjiang and mislead the public to distrust Canada and other countries’ motives for accusing China of committing genocide. This media campaign is an example of the Chinese government’s “ yu lun dao xiang ” (public opinion orientation) propaganda. It deploys a mirroring strategy that makes use of the agendas related to the genocides in other countries to cover up a genocide that is happening at home; it turns the residential school survivors’ trauma into a tool to defend a genocidal system that likewise takes the form of education. This strategy poses a new challenge to the diplomatic and academic work that aims to prevent genocide.

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 categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.435
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
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 head0.335
Teacher spread0.309 · 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 teacher head, not a consensus.

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
Published2023
Admission routes3
Has abstractyes

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