Navigating Racialized Spaces in Academia: Critical Reflections from a Roundtable
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
Canadian Association of University Teachers (2010). The Canadian Association of University Teachers. (Ryan, Pollock, & Antonelli, 2007) and an ongoing challenge among scholars of color. Such challenges include: faculty and staff support, curriculum development, and feelings of validity. Reflecting back on discussions of race, it is important to note that these challenges are shared and valid. Despite an increase in the diversity of the post-secondary student population in Canada, professors identifying themselves as ethnic and cultural diversity are only 17%, according to the Canadian Association of Teachers (Ryan, Pollock & Antonelli, 2007), and this represents a perpetual challenge for racialized teachers. The lack of diversity sends a strong message to all students: creators of knowledge are only a minority elite. These challenges include difficulties in supporting faculty and staff, developing their curriculum and feeling of validity in the face of predominantly white institutions. Reflecting on discussions about race,
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 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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