<i>“WALANG-WALA”</i>(“Nothing is left”): Rituals for Collective Grieving, Disaster Memory, and Social Repair
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Super typhoon Yolanda (internationally named Haiyan)—the strongest storm in recorded history—ravaged through the Visayan Islands of the Philippines on 8 November 2013. In this article I examine the transformative power of collective grieving in translocal and transnational contexts postdisaster. Having served as a disaster relief worker across the Visayas, and now writing as a transnational Filipina scholar, I inquire: How is disaster memory shared from body to body, from the geographical margins of a nation-state to the rest of an archipelago, and across the ocean to global diasporas? How might acts of remembering and grieving together enable new forms of political agency in the wake of a super typhoon? In exploring the relationship between disaster memory and social repair, I consider the creation of ritual as an art practice, performance, and protest. I outline how my creative-critical engagement with ritual in three different forms has facilitated the co-creation of spaces for the individual to grieve together with the collective. This series of projects, together called “WALANG-WALA,” explores the embodiment and experience of a state of absolute emptiness and nothingness one is left with after catastrophic disasters such as Yolanda. In these rituals, I approach disaster memory as a cultural practice of collective and active remembering of what we love and lost.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.013 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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