Representations of Chinese Language Learning in Contemporary English-language News Media: Hope, Hype, and Fear
Bibliographic record
Abstract
Abstract The growing body of research on Chinese as an international (or “global”) language examines linguistic, psycholinguistic, social-psychological, and orthographic aspects of acquisition primarily. There has been relatively little critical discussion or analysis of the larger social context and discourses in which Chinese language education is embedded. However, recently sociocultural, discursive, and critical aspects of the teaching, learning, and use of Chinese as an additional language have begun to receive more attention. This study analyzes circulating discourses, ideologies, and tropes related to Chinese in news media, as one means by which information and perspectives are spread by media and by which public attitudes and policy decisions are (recursively) shaped or reproduced. To this end, a large sample of English-medium news reports of Chinese language education in three Anglophone countries was created and analyzed for the years 2004 to 2012. The findings revealed that reports dealing with Chinese education tended to fall into one of several major tropes, which we have roughly classified as “hope,” “hype,” and “fear,” distinctions that parallel existing models of cyclical or amplified media coverage of innovations or otherwise newsworthy events. The sociopolitically and socioeconomically motivated occurrence of these tropes in the media, combined with the novelty of the Chinese language itself, a historically less frequently taught language in comparison with various European languages, constituted a consistent and recurring narrative. Thus, the shifting representations of Chinese learning in the media tended to appear as corollaries or “side stories” servicing the needs of larger geopolitical events and perceived or desired changes in public sentiment. These trends and their significance are illustrated and discussed in relation to Global Chinese.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".