Unveiling Whiteness in the Twenty-First Century
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Unveiling Whiteness in the Twenty-First Century: Global Manifestations, Transdisciplinary Interventions is a tightly interconnected and richly collaborative book that will advance our understanding of why it is so difficult to re-form and reimagine whiteness in the twenty-first century. Composed after the election of the first black U.S. president, post-global financial crisis, more than a decade after 9/11, and concomitant with a rash of xenophobic incidents across the globe, the book distills several key themes associated with a post-millennial global whiteness: the individual and collective emotions of whiteness, the recentering of whiteness through governing and legal strategies, and the retreats from social equity and justice that have characterized the late twentieth and twenty-first century nation state. It also attempts the difficult work of reimagining white identities and cultures for a new era. Chapters in Unveiling Whiteness in the Twenty-First Century draw from the fields of African-American studies, English studies, media studies, philosophy, political science, psychology, sociology, education, and women’s studies. Using transdisciplinarity as a mode of inquiry for the project and responding to the changing phenomenon of whiteness across several continents (Australia, Canada, France, Romania, South Africa, Sweden, and the United States), the collection brings together established and emerging scholars and a range of critical approaches to unveil and intervene in the ideologies of whiteness in our contemporary moment. Unveiling Whiteness in the Twenty-First Century demonstrates that complex inquiry and activism are needed to challenge new iterations of whiteness in twenty-first-century political and social spaces.
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.
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 it