They don’t owe you their story: conceptualizing racialized queer care through protective spaces
Bibliographic record
Abstract
Guided by a love politic and centrifugal intersectionality we demonstrate how whiteness, homonormative whiteness, and white heteronormativity alienates racialized queer students in both 2SLGBTQ + and racialized counterspaces within the university. The tensions experienced by racialized queer students, do not stem from the existence of these spaces, rather they are rooted within institutional notions of diversity. It is through this examination that we present our conceptualization of protective space. Protective space builds from the reconceptualization of safe spaces as defined by the Roestone Collective. Protective spaces are rooted in a love politic and involves moving forward from guilt to meaningful action embedded in accountability to create love-centered solutions. These principles can be used in both individual action and collective organizing. The conceptualization mainly builds on the experiences of sexually diverse identities; therefore, we encourage researchers and practitioners to expand and build upon this work.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.013 | 0.054 |
| Scholarly communication | 0.009 | 0.008 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".