Discourses of Denial: Mediations of Race, Gender, and Violence
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
Discourses of Denial: Mediations of Race, Gender, and Violence , Yasmin Jiwani, Vancouver: UBC Press, 2006, pp. viii, 255. At first glance many political scientists may not see Discourse of Denial as an intervention that speaks to their discipline. After all, Jiwani's examination of racism, sexism and violence in Canada is explicitly directed to those who traverse multiple and interdisciplinary boundaries, racialized young women and immigrant women, front-line feminist anti-violence, anti-racist and anti-poverty activists, as well as policy makers. However, political scientists can gain much from this persuasively argued, methodologically diverse, innovative and well-researched book. Jiwani addresses how certain institutions—in particular, the dominant media—serve to “mediate” violence. Mediations involve discursive strategies that give recognition to certain expressions of violence and completely erase others, especially racism. Since political scientists frequently rely on the media in their research and teaching, and serve as media commentators as part of their community service, there is much here that is thought-provoking.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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