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Record W4411154262 · doi:10.1080/10361146.2025.2513286

Chinese students in Australian election campaigns

2025· article· en· W4411154262 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.

Bibliographic record

VenueAustralian Journal of Political Science · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicMigration, Refugees, and Integration
Canadian institutionsUniversity of Alberta
FundersChina Studies Centre, University of SydneyUniversity of Sydney
KeywordsPolitical scienceMedia studiesPublic administrationSociology

Abstract

fetched live from OpenAlex

This study explores why Chinese international students volunteer in Australian election campaigns, despite their lack of voting rights. Through semi-structured interviews with 30 student volunteers, the study identifies their motivations categorised as ‘expressive’ (the expression of political attitudes), ‘substantive’ (pursuit of political or career goals), and ‘experiential’ (engagement with Australian public life and skill-building). Focusing on non-voting participants, this study provides unique insights into their roles and experiences in election campaigns. Findings reveal both appreciation of campaign participation and discontent with menial tasks or unfulfilled promises from candidates. These insights shed light on why political parties seek non-voter involvement and how such participation aligns with broader shifts in party engagement amidst declining mass memberships. This study advances understanding of migrant participation in democratic politics, especially among non-citizens, with implications for party strategies and political engagement models.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.472
Threshold uncertainty score0.648

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.001
Open science0.0010.000
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 head0.020
GPT teacher head0.414
Teacher spread0.394 · 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