Bibliographic record
Abstract
Sunera Thobani is a formidable activist and scholar. Through decades of activism and scholarship, spanning the globe from East Africa to Canada, via England and the United States, she has developed and applied a critical race feminist and anti-imperialist analysis of world capitalism and colonialism. As an activist, she is probably best known as the former President of the National Action Committee on the Status of Woman, Canada’s then largest feminist organization. During her tenure she sought to make anti-racism central to feminist struggles. In her academic work, she has developed critical race theory to cast new light on the dynamics around globalization, violence against women, reproductive technologies, social programmes, immigration and nation-building, and colonialism and war. In her research and teaching, she consistently combines her scholarship with community activism, including through her work at the Centre for Race, Autobiography, Gender and Age (RAGA), which she directs and which features active collaboration among community activists and university scholars and students. She is a founding member of the Canada-wide alliance, Researchers and Academics of Colour for Equity. Sunera Thobani was educated at universities in England, the United States and received her PhD from Simon Fraser University in Canada. She is the author of numerous articles, both scholarly and for a more general public. Arguably her most well-known intervention is “War Frenzy,” a 2001 speech calling on women across Canada to oppose the Canadian support of the American-led invasion into Afghanistan. This intervention is now reproduced in a book of Great Canadian Speeches (2004). A frequently invited speaker in both her academic and activist capacities, she has addressed audiences across Canada, as well as in Austria, China, Denmark, England, India, Malaysia, Mexico, the Palestine Occupied Territories, the Philippines, and the United States. Sunera Thobani has co-edited several books on critical race theory and feminism and is the author of the widely-read Exalted Subjects: Studies in the Making of Race and Nation in Canada (2007). Her forthcoming Social Sciences and Humanities Research Council (SSHRC) supported book is tentatively titled Media Representations of Gender and the War on Terror. This interview was conducted by William K. Carroll in Vancouver, British Columbia in February 2012.
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 | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.008 | 0.005 |
| Scholarly communication | 0.014 | 0.007 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.003 | 0.007 |
| Insufficient payload (model declined to judge) | 0.076 | 0.023 |
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".