Constructing identities and negotiating ideologies with Chinese popular culture in adult Mandarin learning
Bibliographic record
Abstract
Abstract Despite the emergence of Chinese as a global language, little research has been done to explore how learners of Chinese as an Additional Language (CAL), and Mandarin specifically, utilize semiotic resources in Chinese popular culture to negotiate their own and others’ language ideologies and identities. This study argues that popular culture is a rich site for ideological and identity work in which four sorts of questions can be explored: (1) Which language(s)? (2) Whose language? (3) Which texts and discourses? (4) What social implications? Employing this framework, this study draws on three focal adult participants’ reported experiences of engaging with Chinese popular culture as a means of improving their Mandarin proficiency. We discuss such themes as gender and heritage learner identity, and political ideologies and dispositions arising from the study. We conclude, briefly, with some implications for Chinese language education and for future research on this topic.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 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".