Language ideological debates about linguistic landscapes
Bibliographic record
Abstract
Abstract In 2013, Richmond city council was presented with a petition calling for the regulation of all language signs, drawing national attention to the amount of Chinese-only signage. The signage debate has become well-known in Canada as a result of the media, which has provided a platform for debate through online reader commentary. By applying concepts from linguistic landscapes, language ideologies and nationalism in addition to analytical tools from SFL, we employ critical discourse studies to examine how representations of and responses to language signage in online news commentary contribute to the construction of in-groups and out-groups in the Canadian context. Findings show that stereotypical representations of ethnicity and culture are represented as a threat to the Canadian status quo. Also, contradictory ideologies of Canadian official bilingualism are employed to justify discrimination against Chinese language speakers. Findings suggest that language ideologies remain deeply tied to understandings of Canadian nationhood and belonging.
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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 | 0.011 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.003 | 0.002 |
| Science and technology studies | 0.036 | 0.075 |
| Scholarly communication | 0.022 | 0.005 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.004 | 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".