American Whiteness as Perpetual Madness: Don Quixote Through the Lens of Ibram X. Kendi’s Stamped From The Beginning
Bibliographic record
Abstract
In Stamped From The Beginning (2016), Ibram X. Kendi provides a typology of the ways in which segregationist racism, assimilationist racism, and anti-racism work in the U.S. through the lives of Cotton Mather, Thomas Jefferson, William Lloyd Garrison, W.E.B.Du Bois, and Angela Davis.Kendi's book thus offers several lived-in models for probing the reach of Whiteness, racism, and anti-racism in specific places and times rather than in the abstract.The academic abstraction of real-world problems is a danger that Vine Deloria, Jr. discussed as a part of his leadership within the American Indian Movement of the late 1960's and early 1970's.Deloria asked youth to avoid being "ego-fed by abstract theories and hence unwittingly manipulated" (1969:84).In the analysis to follow, I apply Kendi's typology of racist and anti-racist ideas to the novel Don Quixote as a practical work of anti-racism in the subject area of educational equity.
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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 | 0.002 | 0.003 |
| 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 | 0.026 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.002 | 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".