Speaking Out on Violence and Social Change: Transmedia Storytelling with Remotely Situated Women in Nepal and Canada
Bibliographic record
Abstract
In 2008–2009, Crossing Communities Art Project based in Winnipeg, MB extended its international transmedia project lookinginspeakingout.com to Nepal, in partnership with the Women Foundation Nepal. In this essay we describe the relational creative process between women in our projects in Canada and Nepal, including our collectively directed videos and public forums. Participating women in both countries worked collaboratively with Canadian artists to portray their lives; they described personal histories of gendered violence, enforced widowhood, self-harm, and living with HIV-AIDS. The videos described in this essay including documentary footage of the project are available for screening on the website, www.lookinginspeakingout.com . While the lookinginspeakingout.com project and this essay contribute some new understandings to the emerging field of collective transmedia storytelling in particular with women in remote locations, we recognize that our exploration of participatory video, authorship, social change, and the impacts of relational art projects have raised more questions than answers.
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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 | 0.004 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.019 | 0.008 |
| Scholarly communication | 0.006 | 0.002 |
| Open science | 0.002 | 0.004 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".