Bibliographic record
Abstract
The contributors to Colonial Racial Capitalism consider anti-Blackness, human commodification, and slave labor alongside the history of Indigenous dispossession and the uneven development of colonized lands across the globe. They demonstrate the co-constitution and entanglement of slavery and colonialism from the conquest of the New World through industrial capitalism to contemporary financial capitalism. Among other topics, the essays explore the historical suturing of Blackness and Black people to debt, the violence of uranium mining on Indigenous lands in Canada and the Belgian Congo, how municipal property assessment and waste management software encodes and produces racial difference, how Puerto Rican police crackdowns on protestors in 2010 and 2011 drew on decades of policing racially and economically marginalized people, and how historic sites in Los Angeles County narrate the Mexican-American War in ways that occlude the war’s imperialist groundings. The volume’s analytic of colonial racial capitalism opens new frameworks for understanding the persistence of violence, precarity, and inequality in modern society. Contributors. Joanne Barker, Jodi A. Byrd, Lisa Marie Cacho, Michael Dawson, Iyko Day, Ruth Wilson Gilmore, Alyosha Goldstein, Cheryl I. Harris, Kimberly Kay Hoang, Brian Jordan Jefferson, Susan Koshy, Marisol LeBrón, Jodi Melamed, Laura Pulido
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 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 | 0.001 | 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.098 | 0.001 |
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".