Efforts to Enhance Education About Gender-Based Violence: A Teacher Workshop and Toolkit
Bibliographic record
Abstract
Sahra' is the Somali word for flower (Kusow, 2023).On May 26, 2023, our Windsor, Ontario, community lost a vibrant and beautiful flower when Sahra Bulle was killed.Two weeks later, her body was found and first degree murder charges were filed against her estranged husband.Her death, at the time, marked the region's fourth femicide in two years (Maru, 2023).Hiatus House, a local organization that provides resources, emergency shelter, and support for women and children who have experienced intimate partner violence (IPV), is prepared to accept 250 women and 160 children annually; in its 2022 fiscal year, however, it admitted 375 women and 180 children (Maru, 2023).These figures are indicative of a growing prevalence of IPV and femicide, which is among the most extreme manifestations of gender-based violence across Ontario and Canada.In 2021-2022, there were 52 femicides in 52 weeks in Ontario alone.The women and girls killed ranged in age from eight to 88 years old (OAITH, 2023).Across Canada, 184 women and girls were killed by mostly male violence in 2022, a number that has steadily increased from 148 in 2019, to 160 in 2020, to 173 in 2021 (Canadian Femicide Observatory for Justice and Accountability, 2022).In February 2023, our team of researchers held a professional development workshop to train teachers on effective pedagogy about gender-based violence.We also produced a teaching toolkit with lesson plans, assignments, guidance notes, and other teaching materials that address a range of gender-based violence issues, all directly aligned with expectations in the Ontario, Canada, Grade 8-12 curriculum, which is aimed at children aged between 12 and 18.The workshop and toolkit were derived from our research findings related to
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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) | 0.000 | 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 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".