Bibliographic record
Abstract
BACKGROUND: Patrick Macasaet and Andre Wee were one of six recipients of the 2023 Archishorts Global Prize - 'Next World Prize' as part of the Architecture + Design Film Festival 2023 for their speculative film on interplanetary infrastructures produced through gaming environments. It continues their gaming research and creative work from ‘Space Urchin’. CONTRIBUTION: ‘Paint a Picture of Clouds’ is a speculative short film that continues the future-centric explorations, narratives and ideas of their award-winning creative work, with contributions from their students, for the Jacques Rougerie Foundation, 'Space Urchin'. Using Macasaet’s and Wee’s research on gaming technologies and environments and their potential integration with film, this work continues the stories and ideas by considering the design of worlds, narratives, and environments on which our architecture and ideas inhabit to further investigate speculative spatial compositions. The film was directed by Andre Wee and produced by Patrick Macasaet. SIGNIFICANCE: The Architecture + Design Film Festival (A+DFF) in Winnipeg presents critically acclaimed films focusing on the importance of architecture and design in everyday life. A+DFF is the only Canadian festival devoted solely to architecture and design. The ArchiShorts is a film competition celebrating the narrative potential of places, real and imagined. The contest seeks to create opportunities for emerging filmmakers while building interest in the world around us. 18 films were shortlisted with submissions from 10 countries. The film was exhibited at the Winnipeg Dave Barber Cinematheque at the annual ArchiShorts Screening and Awards Ceremony in 2023. It was also selected and exhibited at the first retrospective of ArchiShorts films gathered from 9+ years (2015-2023) at The Forks North Portage as part of the Winnipeg Design Festival 2024.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.029 | 0.003 |
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".