‘Strange faces’ in the academy: experiences of racialized and Indigenous faculty in Canadian universities
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 paper is based on a larger qualitative study of exclusion and belonging as experienced by members of marginalized groups in the professions. The current analysis draws on a subsample of 13 racialized and Indigenous academics at Canadian universities to examine their experiences of both everyday racism – subtle, almost intangible micro-level interactions that convey messages of not fully belonging – and overt racism and colonialism. Overt experiences were less common, though intensely painful. Though in some ways they are more straightforward to address, as they are more obvious, they also consume considerable time and energy. Instances of everyday racism and colonialism were more common, often intricately interwoven with the very fabric of the institutional culture. Their cumulative nature is exhausting. Diversity initiatives, while popular in contemporary universities, are failing to approach equity, in that they deny the need for change in institutional cultures.
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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 | 0.000 | 0.001 |
| 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