Kevin Schmidt - EDM House [on the occasion of the exhibition "Kevin Schmidt - EDM House", Fogo Island Cinema, October 1 - December 31, 2014]
Bibliographic record
Abstract
Kevin Schmidts installation and film "EDM House" (2013) transforms an abandoned homestead in the interior of British Columbia, Canada, into a meeting place of the urban and rural. His incongruous superimposition of the sounds of EDM (electronic dance music) and colored Christmas lights onto this remote location, where he also lived for four months, critiques our pioneering expeditions into the natural world. His disorienting camera work recalls Hitchcocks masterpiece "Vertigo", and imbues the scenery with a sense of displacement, at once chilling and exhilarating. This fourth publication in the series with Fogo Island Arts includes stunning color photographs of the installation plus reflections on Schmidts practice from leading writers. Jeff Derksen (Associate Professor of English, Simon Fraser University) traces the evolution of Schmidts house from homestead to nostalgic getaway cabin. Novelist Michael Turners fictional narrative follows an aspiring filmmaker whose discovery of the house is informed by a rich field of cinematic and literary references. Finally, a conversation between Jack Stanley and Schmidt provides insight into the artists practice. Exhibition: Fogo Island Arts, Fogo Islands, Canada (01.10-31.12.2014)
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.007 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.037 | 0.004 |
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".