Bibliographic record
Abstract
Although many will remember 2020 as the year of the pandemic, it was also the year when George Floyd, a Black man, was brutally murdered by White police officer Derek Michael Chauvin under the pretense of reasonable policing.The Black Lives Matter demonstrations in protest of the systematic racism laid bare by this murder inspired a global response: in the months following Floyd's death, millions of people from around the world held demonstrations protesting racial inequality, racialized violence, and racialized police violence specifically.In the wake of these protests have been calls for renewed vigilance in reflecting on and responding to issues related to race and the reality of racialized discrimination and violence; calls to seriously foreground these discussions and not let them slip out of public consciousness as so commonly occurs in our world of twenty-four hour news cycles.The present volume -"Religion, Resistance, and Racialization" -was inspired by these calls, and seeks to showcase research dealing with some of the ways racism and religion intersect.Our first article, "Purity Culture's Racist Fruit: Centering the Voices of Black Womanists and Feminists in the Deconstruction of Purity Culture," by Olivia Jayne Schultz, interrogates the racialized underpinnings of contemporary North American Evangelical purity culture, and highlights the need to foreground Black womanist and feminist interventions in the deconstruction of this culture.Next is Filippo Pedretti's "Race and Zen: Julius Evola, Fascism, and D. T. Suzuki," which highlights how discourse analysis can be used to problematize political narratives rooted in the intersection of racism and spirituality.Following this is "The Racialization of Islam in Sub-Saharan Africa" by Brenda McCollum, a work which examines how colonial powers, and later academics, participated in constructing a
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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 | 0.001 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.673 | 0.558 |
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".