Crossing Oceans: Testimonial Theatre, Filipina Migrant Labor, Empathy, and Engagement
Bibliographic record
Abstract
Framed within the geopolitics of empathy, we describe the process of taking a testimonial play, based on verbatim research interview transcripts with Filipina domestic workers, their families, employers, and nanny agents in Vancouver, Canada, to the Philippines to present to audiences there, including to members of domestic workers’ families. Aspects of the script and the staging of the play were reworked to solicit empathy in a context where the challenging experiences of domestic workers in Canada sometimes are not heard—even within families, given the popular image of Canada as a land of opportunity and the perception that Canada is relatively inclusive in terms of labor rights and paths to permanent residency. Interviews with seven family members who attended the play offer some clues to assessing performance as a space for critical, sometimes uncomfortable forms of empathy. Rather than a purely affirming experience, we argue that empathy can lead to a fuller recognition of the suffering on which one’s good life depends and challenge fantasies of the good life, in this case, attainable through migration to 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 | 0.004 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.023 | 0.011 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.009 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.008 | 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".