Critical Race Feminism: A Transformative Vision for Service-Learning Engagement
Bibliographic record
Abstract
This article explores the development of service-learning from a critical race feminist perspective. Critical race feminism seeks to understand how society organizes itself along intersections of race, gender, class, and other forms of social hierarchies. It utilizes counter-storytelling as methodology and legitimizes the voices of women of colour in speaking about social oppression. Though counter-storytelling, women of colour students, non-academic staff, faculty, and non-university community members relayed their experiences at The University of British Columbia, Vancouver, Canada, which formed the basis for a transformative vision of service-learning engagement. This vision calls for institutional accountability, requiring a critical examination and transformation of hegemonic structures and practices from within before any genuine, respectful, and mutually beneficial relationships with communities of colour can be developed. Such partnerships would enable the university to create outstanding partnerships to address and solve local, national, and global injustices.
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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 | 0.048 | 0.016 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.004 | 0.001 |
| Science and technology studies | 0.019 | 0.114 |
| Scholarly communication | 0.026 | 0.021 |
| Open science | 0.004 | 0.023 |
| Research integrity | 0.010 | 0.014 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".