International students and their raciolinguistic sensemaking of aural employability in Canadian universities
Bibliographic record
Abstract
Abstract International students in Canadian universities are deemed valuable immigrants for the Canadian nation as they are equipped with formal credentials easily recognizable for local employers. Despite having desired technical skills and knowledge, the English of these students is perceived as hindering their ability to voice this expertise. This then forces international students to think about how language can affect their employability during their studies. Drawing on a narrative analysis of the experiences of 14 international students in Ontario and focussing on speech accent, this article explores how they make sense ofaural employability, the ability to be heard as employable, through participating in Canadian higher education. The students connected aural employability with ‘sounding Canadian’ throughraciolinguistic sensemaking, a type of sensemaking that interprets the linguistic world with various ideologies of whiteness. Such sensemaking speaks to how Canadian universities, as sites of workplace language learning, cannot be divorced from the white settler logics that pervade these institutions.
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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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.033 | 0.026 |
| Scholarly communication | 0.014 | 0.002 |
| Open science | 0.002 | 0.010 |
| Research integrity | 0.002 | 0.005 |
| 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".