Excluded and avoided: Racial microaggressions targeting Asian international students in Canada.
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
This qualitative study explored East and South Asian international students' (N = 12) experiences with racial microaggressions at one Canadian university. Data were collected through unstructured, individual interviews. Using a modified version of the consensual qualitative research method (Hill, Thompson, & Williams, 1997), we identified six racial microaggressions themes: (a) excluded and avoided, (b) ridiculed for accent, (c) rendered invisible, (d) disregarded international values and needs, (e) ascription of intelligence, and (f) environmental microaggressions (structural barriers on campus). In addition, we used the same approach to identify themes pertaining to the ways in which students coped with racial microaggressions: (a) engaging with own racial and cultural groups, (b) withdrawing from academic spheres, and (c) seeking comfort in the surrounding multicultural milieu. Microaggressions and coping themes differed based on country of origin and language proficiency. Implications for research and practice are discussed.
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 | 0.001 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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