Revisiting “The Master's Tools”: Challenging Common Sense in Cross-Cultural Teacher Education
Bibliographic record
Abstract
According to Kevin Kumashiro (2004), education toward a socially just society requires a commitment to challenge common sense notions or assumptions about the world and about teaching and learning. Recalling Audre Lorde's (1984) classic essay, “The Master's Tools Will Never Dismantle the Master's House,” I focus on three common sense notions and practices within cross-cultural teacher education that often leave marginalized students bearing the burden of cross-cultural work at the expense of their own learning. Specifically, I critique the assumptions that students ought to share their experiences with others, that they should do so willingly, and that they should tell the truth in these exchanges (whether in reflective journals or in-class discussions). I offer no easy solutions; instead I call for re-examination of the ways in which everyday practices in teacher education risk serving as tools to “keep the oppressed occupied with the master's concerns” (p. 113) as an important step toward social justice in teacher education. Women of today are still being called upon to stretch across the gap of male ignorance and to educate men as to our existence and our needs. This is an old and primary tool of all oppressors to keep the oppressed occupied with the master's concerns. Now we hear it is the task of women of Color to educate white women—in the face of tremendous resistance—as to our existence, our differences, and our relative roles in our joint survival. This is a diversion of energies and a tragic repetition of racist patriarchal thought. (Lorde, 1984 Lorde, A. 1984. Sister/outsider, New York: Crossing Press. [Google Scholar], p. 113)
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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 | 0.104 | 0.060 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.007 | 0.005 |
| Science and technology studies | 0.033 | 0.197 |
| Scholarly communication | 0.037 | 0.066 |
| Open science | 0.008 | 0.043 |
| Research integrity | 0.013 | 0.034 |
| Insufficient payload (model declined to judge) | 0.002 | 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".