“It’s a struggle but it’s also a strength”: Embodied declarations of resistance, resilience, and strength amongst survivors of gendered violence
Bibliographic record
Abstract
This study explores women’s representations and declarations of resilience, resistance, and strength within the context of gender-based violence through photography. A visual-narrative methodology is used to answer the following research question: In what ways do survivors resist gender-based violence at both individual and systemic levels? Photo-elicitation interviews were conducted with a total of three female survivors between the ages of 27 and 35 living in the GTA. The benefits of this study involve reconceptualizing women’s experiences of gender-based violence through creative expression, as well as disrupting dominant ideas of female survivors as “vulnerable victims” by constructing new accounts that depict strong, resilient women. The hopeful outcome of this study is that it informs current and future policy and practice. I hope that scholars, practitioners, and legislators will critically reflect on how their current and past research and practice may fall short of the rights and needs of women they work alongside.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.005 | 0.011 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.000 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".