Burnt offerings : Kemano, a deserted town in remote British Columbia, provided the ideal ground for testing a sprinkler's ability to put out house fires
Bibliographic record
Abstract
Kemano, British Columbia, was a company town built 50 years ago by Alcan Smelters and Chemicals to support its hydroelectric station. When the station became essentially automated, making the town obsolete, an idea was born. The deserted town was donated to B.C.'s Office of the Fire Commissioner for training and research. This has been known as the Kemano Public Safety Initiative. As part of this unique opportunity, the National Research Council of Canada was invited to conduct a series of full-scale fire experiments at the town. One series of experiments was designed to evaluate the performance of a cross-linked-polyethylene pipe sprinkler system in an abandoned house that contained furniture to simulate a normal occupancy. The house was a wood-framed bi-level structure with approximately 1,000 square feetper floor (2,000 square feet total).
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.041 | 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".