On Border and Identity: A Performative Reflection from an Applied Theatre Project
Bibliographic record
Abstract
As an artist-scholar, I query: In what ways does border perform, (dis)connect, alter, shift dissolve and (re)imagine identity? Migration is essential to human existence in this present 'postnormal times' characterized by chaos, contradictions, global displacement and neoliberal realities (Ziauddin, 2010). From voluntary to forced migration, border shifts as living and non-living things move, and it is constantly being re/negotiated. Beyond physical or territorial border navigated in migration, cultures and arts transverse boundaries because people move with cultural practices, beliefs and traditions. For instance, as migrants' cultural practices and art forms trans-border, culture becomes a mobile apparatus that constantly changes and shifts from one form to another. As an autobiographical piece, in this article, I focus on the experience of the individual [me] to explore how my migratory and mobility experiences shape my identity and in turn find expression in my artistic practice. I engaged the notion of root and routes to articulate the fact that I'm in constant motion of 'shifting identities' (Bhavnani & Phoenix, 1994) and creating my own 'imagined communities' (Anderson, 1991). I focus on my performance in an applied theatre project with refugees, immigrants, and international students in Victoria, British Columbia, Canada.
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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 | 0.010 | 0.014 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.029 | 0.040 |
| Scholarly communication | 0.016 | 0.005 |
| Open science | 0.004 | 0.016 |
| Research integrity | 0.005 | 0.014 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".