From Feminist Participatory Co-Design to Research-Creation: Developing a Digital Fiction for Body Image Bibliotherapy
Why this work is in the frame
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Bibliographic record
Abstract
Body image concerns affect the well-being of a generation coming of age immersed in digital culture. This is particularly true for young women and gender non-binary individuals of diverse intersectional backgrounds who regularly confront appearance-related pressures. The "Writing New Bodies" project ("WNB"; SSHRC IG 435-2018-1036) addresses these issues by developing a literary story game (digital fiction; "DF") for body image bibliotherapy. The planned DF encourages emotional and verbal engagement with various challenges facing young people today, including cis- and heteronormative gender relations, racism, anti-fat attitudes, ableism, and familial influences on the ways women "ought to look" (Rice, 2014). Our research-creation approach deconstructs normative conceptions of power to help reader/players build resilience to external and internal body-related pressures. WNB's methods of community co-design and feminist participatory action research engage woman-identified and gender non-conforming individuals ages 18-25 in envisioning a world where they feel at home in their bodies. In four participant workshops held in April-May 2019, the WNB team worked with a diverse, intersectional audience using methods of free writing, small group discussions, and multilinear game design. Workshop intervention called on participants to hyper-textualize body-related experiences and explore diverse options for an ontological reimagining of appearance-driven neoliberalist pressures. Our paper (video and essay) introduces the DF resulting from our participant research. We reflect on the creative process, from its basis inspired by the results of participant research to ludonarrative and interface design, software development and early play testing. Our reflections include matters of intersectional diversity in developing a socially inclusive intervention tool for contemporary, digital-born bibliotherapy. YouTube clip: https://www.youtube.com/watch?v=CwalVlKyu7I&feature=youtu.be
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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