Bundled otherwise: Skills, social mobility, and raciolinguistic ideologies in the Canadian labour market
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.
Bibliographic record
Abstract
Abstract Showcasing how understandings of social mobility encoded raciolinguistic ideologies of the ideal upwardly mobile speaker, I investigate blue- and white-collar orientation to language, race, and social mobility in the Canadian labor market. I analyze these two subject positionalities and the way bundles of skills are ‘bundled otherwise’ when ideologies of race and language are invoked as relevant to a class experience. While the acquisition of standard languages remains understood as a gateway to upward mobility, the increased commodification of language made the acquisition of standard registers of French and English a skill amongst others, on par with any other. If this shift challenges an implicit ‘linguistic’ bias embedded in emic and scientific understandings of class, raciolinguistic ideologies continue to organize worker's orientations to language and work, be it to imagine themselves as cosmopolitan workers or to defend the positions of ethnic, national, and racialized groups in the economy. (Social class, raciolinguistics, work, language ideologies, francophone Canada, bilingualism)*
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 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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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 it