Piña, Why is the Sky Blue? Crafting Cyber Transfeminist and Filipinx Futurisms through Creative Technologies
Bibliographic record
Abstract
Abstract Stephanie Comilang and Simon Speiser’s Piña, Why is the Sky Blue? (2022) animates speculative aesthetics through creative technologies that give rise to decolonial futures. The installation centers on the fictive artificial intelligent figure, Piña , who carries Philippine and Ecuadorian ancestral and matriarchal data into the present and to diasporic communities who have been separated from this knowledge and culture by colonial suppression and global migration. Recapitulating the connection of these two former Spanish colonies, the artist duo generates Piña as a gender-fluid embodiment of digital systems designed to archive and convey Philippine and Ecuadorian Indigenous worldviews for the future. Echoing the aesthetic and political impulses of Indigenous futurisms and Afrofuturism, the authors argue that this work crafts Filipinx futurisms, global Indigenous resurgence, and what the authors coin as “cyber transfeminist aesthetics” by eluding binary categorizations—both gendered and computational, collapsing geographies and temporalities through virtual reality and enlivening ancestral epistemologies.
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How this classification was reachedexpand
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 | 0.001 |
| Science and technology studies | 0.000 | 0.003 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".