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Record W2059100170 · doi:10.1080/10665680802397590

Revisiting “The Master's Tools”: Challenging Common Sense in Cross-Cultural Teacher Education

2008· article· en· W2059100170 on OpenAlexaff
Ann Chinnery

Bibliographic record

VenueEquity & Excellence in Education · 2008
Typearticle
Languageen
FieldSocial Sciences
TopicCritical Race Theory in Education
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsIgnoranceSociologyFace (sociological concept)Resistance (ecology)White (mutation)PedagogyPsychologySocial psychologyAestheticsLawSocial sciencePolitical science

Abstract

fetched live from OpenAlex

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)

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.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.538
Threshold uncertainty score0.927

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.090
GPT teacher head0.448
Teacher spread0.357 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
Domainnot available
GenreEmpirical

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".

Quick stats

Citations19
Published2008
Admission routes1
Has abstractyes

Explore more

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