Black Students’ Experiences of Anti-Black Racism on Campus
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
Catalyzed by numerous high-profile incidents of anti-Black police brutality within the context of systemic anti-Black racism, a global movement advocating for racial justice for Black lives has ignited conversations in academia. While universities across North America issued statements pledging commitment to racial equity, many lacked systemic mechanisms to enact meaningful change. With research on anti-Black racism in academia primarily focused on the U.S., the experiences of Black students in Canada remain underexplored. In this context, activist scholars from a Canadian university in Alberta conducted a two-phase mixed-methods case study to examine Black students’ experiences. This article presents findings from phase one, an online survey informed by critical race theory, completed by 113 self-identified Black students. Respondents shared insights on the university’s climate, incidents of anti-Black racism, its impacts on well-being, and dissatisfaction with institutional responses. Findings underscore the urgent need for systemic changes in representation, support, training, and curriculum development to address anti-Black racism meaningfully.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.002 |
| 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