Bibliographic record
Abstract
Winner of the 2016 Gloria E. Anzaldua Book Prize, sponsored by the National Women's Studies Association In Power Interrupted , Sylvanna M. Falcón redirects the conversation about UN-based feminist activism toward UN forums on racism. Her analysis of UN antiracism spaces, in particular the 2001 World Conference against Racism, Racial Discrimination, Xenophobia, and Related Intolerance in Durban, South Africa, considers how a race and gender intersectionality approach broadened opportunities for feminist organizing at the global level. The Durban conference gave feminist activists a pivotal opportunity to expand the debate about the ongoing challenges of global racism, which had largely privileged men’s experiences with racial injustice. When including the activist engagements and experiential knowledge of these antiracist feminist communities, the political significance of human rights becomes evident. Using a combination of interviews, participant observation, and extensive archival data, Sylvanna M. Falcón situates contemporary antiracist feminist organizing from the Americas—specifically the activism of feminists of color from the United States and Canada, and feminists from Mexico and Peru—alongside a critical historical reading of the UN and its agenda against racism.
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 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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.005 | 0.002 |
| Scholarly communication | 0.007 | 0.007 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.245 | 0.068 |
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".