School Without Racism? How White Teachers in Germany Practice Anti-Racialism
Bibliographic record
Abstract
This qualitative study investigates how white teachers at a German Catholic comprehensive school conceptualize issues of “race” and racism in the context of being a “School without Racism – School with Courage” (SOR-SMC). By collecting signatures and exhibiting yearly projects, more than 3,300 schools in Germany brand their school to be “without racism”. I found the branding of my researched school to be a form of “anti-racialism” that opposed “race” and racism as concepts but did not tackle any underlying racist structures (Goldberg 2009, 10). The teachers I interviewed took the SOR-SMC branding for granted and assumed that the school was racism-free. They thereby engaged in silent racism and reproduced racist connotations and structures without challenging them (Trepagnier 2001). Being anti -racist is not accomplished by declaring a school as racism-free. Instead, white teachers need to understand that anti-racism involves a deeper engagement with the structures that keep “racial” inequality in place (Goldberg 2009, 10).
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How this classification was reachedexpand
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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".