Bibliographic record
Abstract
Much has been written in Canada and South Africa about sexual violence in the context of colonial legacies, particularly for Indigenous girls and young women. While both countries have attempted to deal with the past through Truth and Reconciliation Commissions and Canada has embarked upon its National Inquiry on Missing and Murdered Indigenous Women and Girls, there remains a great deal left to do. Across the two countries, history, legislation and the lived experiences of young people, and especially girls and young women point to a deeply rooted situation of marginalization. Violence on girls’ and women’s bodies also reflects violence on the land and especially issues of dispossession. What approaches and methods would make it possible for girls and young women, as knowers and actors, especially those who are the most marginalized, to influence social policy and social change in the context of sexual violence? Taken as a whole, the chapters in Disrupting Shameful Legacies: Girls and Young Women Speaking Back through the Arts to Address Sexual Violence which come out of a transnational study on sexual violence suggest a new legacy, one that is based on methodologies that seek to disrupt colonial legacies, by privileging speaking up and speaking back through the arts and visual practice to challenge the situation of sexual violence. At the same time, the fact that so many of the authors of the various chapters are themselves Indigenous young people from either Canada or South Africa also suggests a new legacy of leadership for change.
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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.033 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.005 |
| Research integrity | 0.002 | 0.005 |
| Insufficient payload (model declined to judge) | 0.005 | 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 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".