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Record W4392850192 · doi:10.1080/13569775.2024.2330167

The psychosocial foundation of China’s state-led nationalism

2024· article· en· W4392850192 on OpenAlexaff
Ye Xue

Bibliographic record

VenueContemporary Politics · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicRacial and Ethnic Identity Research
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsChinaFoundation (evidence)NationalismPsychosocialState (computer science)Political scienceGender studiesSociologyPsychologyLawPsychotherapistPoliticsComputer science

Abstract

fetched live from OpenAlex

Existing research extensively documents the Communist Party of China's strategic utilisation of nationalism to bolster its legitimacy, primarily through shaping the nationalist belief system in alignment with its political agenda and historical narrative. However, this article proposes an additional viewpoint: the success of the state-led nationalist endeavour also hinges on resonating with the common psychological traits of the Chinese masses. Without such resonance, the nationalist project may encounter resistance. Therefore, this article posits that Chinese face culture constitutes a foundational aspect of the common psychological makeup of the Chinese people. It serves as a frame for the Party-state to construct nationalist narratives and beliefs, fostering sentiments of national pride, shame, and attitudes towards international affairs. Key discourses such as 'the rejuvenation of the Chinese nation', 'the century of humiliation', and 'the backward will be beaten' symbolically appeal to Chinese notions of face and contribute to the narrative's effectiveness.

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.022
Threshold uncertainty score0.043

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.009
Scholarly communication0.0030.001
Open science0.0000.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0030.000

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 head0.060
GPT teacher head0.406
Teacher spread0.346 · 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 designTheoretical or conceptual
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

Citations5
Published2024
Admission routes1
Has abstractyes

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