Best of Both Worlds: A Phenomenological Exploration of East Asian Diasporic Identity Through Virtual Reality
Bibliographic record
Abstract
While East Asian diaspora studies have addressed inequities imposed by hegemonic epistemologies on diasporic communities and identities, expressing the equally important politics of diasporic agency and joy is also essential. My research-creation intervenes in this knowledge space through a phenomenological framework informed by cyborg theory and assemblage theory in a Virtual Reality experience. Reiterating metaphors of prostheses for diasporic transcendence, I consider if instrumental and ecological cultural affinities of East Asian-Canadian identity can be perceived as such. Mediated by the VR experience, I visualized this by inquiring about diasporic upbringing, everyday life, personal and institutional relationships, and cultural interactions. Informed by autoethnography and semi-constructed interviews with 14 East Asian-Canadian participants, I investigated what hybridity and empowerment look, feel, and mean when extensions of diasporic selfhood are metaphorized as prostheses in an assemblage network. I also explored the affordances of VR as a pedagogical medium to visualize this analysis.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.020 | 0.019 |
| Scholarly communication | 0.007 | 0.006 |
| Open science | 0.002 | 0.008 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.003 | 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".