Moving beyond survivalism? Youth perspectives on <scp>non‐Mandarin</scp> Chinese languages in the study of Chinese voluntary associations in Singapore and Vancouver
Bibliographic record
Abstract
The contributions of Chinese voluntary associations (CVAs) have often been viewed through a survivalist lens. As a process by which the activities of such organisations are interpreted through a rigid sense of what a Chinese community association is and should be, survivalist tendencies in academic scholarship must be re‐thought to fully assess the functions of several types of CVAs, including amid the cultural rise of the People's Republic of China. In light of Sara Ahmed's notion of ‘orientation’, we offer a vantage point from which to rethink the roles of such associations. We do so by illuminating the contributions of key organisations involved in efforts to revitalise Chinese languages other than Mandarin in two locales outside of China, namely the Siong Leng Musical Association and Viriya Community Services in Singapore, and Wongs' Benevolent Association and Youth Collaborative for Chinatown in Vancouver. By focusing on these four voluntary associations in Singapore and Vancouver and, more specifically, on the perspectives of their youth members, we show the similar dialectical nature of their activities, which are caught in the dynamic interplays between local and global cultural forces and between intergenerational perspectives on language use.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.016 | 0.011 |
| Scholarly communication | 0.009 | 0.002 |
| Open science | 0.001 | 0.006 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".